RUN: /usr/share/launchpad-buildd/slavebin/slave-prep ['slave-prep'] Forking launchpad-buildd slave process... Kernel version: Linux z13-002 4.4.0-21-generic #37-Ubuntu SMP Mon Apr 18 18:31:26 UTC 2016 s390x Buildd toolchain package versions: launchpad-buildd_138 python-lpbuildd_138 sbuild_0.67.0-2ubuntu7 dpkg-dev_1.18.4ubuntu1 python-debian_0.1.27ubuntu2 qemu-user-static_1:2.5+dfsg-5ubuntu10. Syncing the system clock with the buildd NTP service... 27 Apr 00:46:53 ntpdate[30478]: adjust time server 10.211.37.1 offset 0.000743 sec RUN: /usr/share/launchpad-buildd/slavebin/unpack-chroot ['unpack-chroot', 'PACKAGEBUILD-9647163', '/home/buildd/filecache-default/4c2dc15a2bd8eb52aaecab56c2b5c3013e453e5b'] Unpacking chroot for build PACKAGEBUILD-9647163 RUN: /usr/share/launchpad-buildd/slavebin/mount-chroot ['mount-chroot', 'PACKAGEBUILD-9647163'] Mounting chroot for build PACKAGEBUILD-9647163 RUN: /usr/share/launchpad-buildd/slavebin/override-sources-list ['override-sources-list', 'PACKAGEBUILD-9647163', 'deb http://ftpmaster.internal/ubuntu yakkety main universe', 'deb http://ftpmaster.internal/ubuntu yakkety-security main universe', 'deb http://ftpmaster.internal/ubuntu yakkety-updates main universe', 'deb http://ftpmaster.internal/ubuntu yakkety-proposed main universe'] Overriding sources.list in build-PACKAGEBUILD-9647163 RUN: /usr/share/launchpad-buildd/slavebin/update-debian-chroot ['update-debian-chroot', 'PACKAGEBUILD-9647163', 's390x'] Updating debian chroot for build PACKAGEBUILD-9647163 Get:1 http://ftpmaster.internal/ubuntu yakkety InRelease [247 kB] Get:2 http://ftpmaster.internal/ubuntu yakkety-security InRelease [92.2 kB] Get:3 http://ftpmaster.internal/ubuntu yakkety-updates InRelease [92.2 kB] Get:4 http://ftpmaster.internal/ubuntu yakkety-proposed InRelease [95.7 kB] Get:5 http://ftpmaster.internal/ubuntu yakkety/main s390x Packages [1134 kB] Get:6 http://ftpmaster.internal/ubuntu yakkety/main Translation-en [568 kB] Get:7 http://ftpmaster.internal/ubuntu yakkety/universe s390x Packages [7198 kB] Get:8 http://ftpmaster.internal/ubuntu yakkety/universe Translation-en [4355 kB] Get:9 http://ftpmaster.internal/ubuntu yakkety-security/main s390x Packages [64 B] Get:10 http://ftpmaster.internal/ubuntu yakkety-security/main Translation-en [64 B] Get:11 http://ftpmaster.internal/ubuntu yakkety-security/universe s390x Packages [64 B] Get:12 http://ftpmaster.internal/ubuntu yakkety-security/universe Translation-en [64 B] Get:13 http://ftpmaster.internal/ubuntu yakkety-updates/main s390x Packages [64 B] Get:14 http://ftpmaster.internal/ubuntu yakkety-updates/main Translation-en [64 B] Get:15 http://ftpmaster.internal/ubuntu yakkety-updates/universe s390x Packages [64 B] Get:16 http://ftpmaster.internal/ubuntu yakkety-updates/universe Translation-en [64 B] Get:17 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x Packages [148 kB] Get:18 http://ftpmaster.internal/ubuntu yakkety-proposed/main Translation-en [70.0 kB] Get:19 http://ftpmaster.internal/ubuntu yakkety-proposed/universe s390x Packages [182 kB] Get:20 http://ftpmaster.internal/ubuntu yakkety-proposed/universe Translation-en [120 kB] Fetched 14.3 MB in 9s (1511 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following package was automatically installed and is no longer required: libpng12-0 Use 'sudo apt autoremove' to remove it. The following NEW packages will be installed: libpng16-16 The following packages will be upgraded: apt apt-transport-https bash binutils cpp-5 g++-5 gcc-5 gcc-5-base gcc-6-base grep hostname init init-system-helpers initscripts libapt-pkg5.0 libatomic1 libcc1-0 libgcc-5-dev libgcc1 libgcrypt20 libgomp1 libitm1 libpng12-0 libsasl2-2 libsasl2-modules-db libsemanage-common libsemanage1 libsepol1 libslang2 libstdc++-5-dev libstdc++6 libsystemd0 libtasn1-6 libudev1 linux-libc-dev make optipng policyrcd-script-zg2 sed systemd systemd-sysv sysv-rc sysvinit-utils tzdata 44 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 71.5 MB of archives. After this operation, 205 MB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu yakkety/main s390x bash s390x 4.3-14ubuntu2 [568 kB] Get:2 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x grep s390x 2.25-1 [148 kB] Get:3 http://ftpmaster.internal/ubuntu yakkety/main s390x hostname s390x 3.17ubuntu1 [11.8 kB] Get:4 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x init-system-helpers all 1.31ubuntu1 [31.9 kB] Get:5 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x init s390x 1.31ubuntu1 [4576 B] Get:6 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x sed s390x 4.2.2-7.1 [139 kB] Get:7 http://ftpmaster.internal/ubuntu yakkety/main s390x gcc-6-base s390x 6.0.1-2ubuntu13 [15.7 kB] Get:8 http://ftpmaster.internal/ubuntu yakkety/main s390x libgcc1 s390x 1:6.0.1-2ubuntu13 [24.6 kB] Get:9 http://ftpmaster.internal/ubuntu yakkety/main s390x libstdc++6 s390x 6.0.1-2ubuntu13 [403 kB] Get:10 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libapt-pkg5.0 s390x 1.2.11 [659 kB] Get:11 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x apt s390x 1.2.11 [1019 kB] Get:12 http://ftpmaster.internal/ubuntu yakkety/main s390x sysvinit-utils s390x 2.88dsf-59.3ubuntu4 [21.9 kB] Get:13 http://ftpmaster.internal/ubuntu yakkety/main s390x sysv-rc all 2.88dsf-59.3ubuntu4 [18.2 kB] Get:14 http://ftpmaster.internal/ubuntu yakkety/main s390x initscripts s390x 2.88dsf-59.3ubuntu4 [24.5 kB] Get:15 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsystemd0 s390x 229-5ubuntu1 [194 kB] Get:16 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x systemd s390x 229-5ubuntu1 [3293 kB] Get:17 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x systemd-sysv s390x 229-5ubuntu1 [17.7 kB] Get:18 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libgcrypt20 s390x 1.7.0-2 [339 kB] Get:19 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsepol1 s390x 2.5-1 [198 kB] Get:20 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsemanage-common all 2.4-3build2 [6558 B] Get:21 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsemanage1 s390x 2.4-3build2 [74.4 kB] Get:22 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libudev1 s390x 229-5ubuntu1 [57.0 kB] Get:23 http://ftpmaster.internal/ubuntu yakkety/main s390x tzdata all 2016d-2 [168 kB] Get:24 http://ftpmaster.internal/ubuntu yakkety/main s390x libgomp1 s390x 6.0.1-2ubuntu13 [71.1 kB] Get:25 http://ftpmaster.internal/ubuntu yakkety/main s390x g++-5 s390x 5.3.1-16ubuntu2 [27.2 MB] Get:26 http://ftpmaster.internal/ubuntu yakkety/main s390x gcc-5 s390x 5.3.1-16ubuntu2 [6961 kB] Get:27 http://ftpmaster.internal/ubuntu yakkety/main s390x cpp-5 s390x 5.3.1-16ubuntu2 [25.2 MB] Get:28 http://ftpmaster.internal/ubuntu yakkety/main s390x libcc1-0 s390x 6.0.1-2ubuntu13 [31.0 kB] Get:29 http://ftpmaster.internal/ubuntu yakkety/main s390x binutils s390x 2.26-8ubuntu3 [1057 kB] Get:30 http://ftpmaster.internal/ubuntu yakkety/main s390x libitm1 s390x 6.0.1-2ubuntu13 [27.2 kB] Get:31 http://ftpmaster.internal/ubuntu yakkety/main s390x libatomic1 s390x 6.0.1-2ubuntu13 [8160 B] Get:32 http://ftpmaster.internal/ubuntu yakkety/main s390x libstdc++-5-dev s390x 5.3.1-16ubuntu2 [1358 kB] Get:33 http://ftpmaster.internal/ubuntu yakkety/main s390x libgcc-5-dev s390x 5.3.1-16ubuntu2 [246 kB] Get:34 http://ftpmaster.internal/ubuntu yakkety/main s390x gcc-5-base s390x 5.3.1-16ubuntu2 [17.1 kB] Get:35 http://ftpmaster.internal/ubuntu yakkety/universe s390x libpng12-0 s390x 1.2.54-6ubuntu1 [113 kB] Get:36 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libslang2 s390x 2.3.0-2.3ubuntu1 [405 kB] Get:37 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libtasn1-6 s390x 4.8-1 [41.1 kB] Get:38 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x apt-transport-https s390x 1.2.11 [24.6 kB] Get:39 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsasl2-modules-db s390x 2.1.26.dfsg1-15 [14.0 kB] Get:40 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsasl2-2 s390x 2.1.26.dfsg1-15 [46.8 kB] Get:41 http://ftpmaster.internal/ubuntu yakkety/main s390x libpng16-16 s390x 1.6.21-4 [170 kB] Get:42 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x linux-libc-dev s390x 4.4.0-22.38 [830 kB] Get:43 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x make s390x 4.1-9 [149 kB] Get:44 http://ftpmaster.internal/ubuntu yakkety/main s390x optipng s390x 0.7.6-1build1 [81.5 kB] Get:45 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x policyrcd-script-zg2 all 0.1-3 [5610 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 71.5 MB in 35s (2033 kB/s) (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 11908 files and directories currently installed.) Preparing to unpack .../bash_4.3-14ubuntu2_s390x.deb ... Unpacking bash (4.3-14ubuntu2) over (4.3-14ubuntu1) ... Setting up bash (4.3-14ubuntu2) ... update-alternatives: using /usr/share/man/man7/bash-builtins.7.gz to provide /usr/share/man/man7/builtins.7.gz (builtins.7.gz) in auto mode (Reading database ... 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Unpacking libsystemd0:s390x (229-5ubuntu1) over (229-4ubuntu4) ... Processing triggers for libc-bin (2.23-0ubuntu3) ... Setting up libsystemd0:s390x (229-5ubuntu1) ... Processing triggers for libc-bin (2.23-0ubuntu3) ... (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 11908 files and directories currently installed.) Preparing to unpack .../systemd_229-5ubuntu1_s390x.deb ... Unpacking systemd (229-5ubuntu1) over (229-4ubuntu4) ... Setting up systemd (229-5ubuntu1) ... addgroup: The group `systemd-journal' already exists as a system group. Exiting. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 11905 files and directories currently installed.) Preparing to unpack .../systemd-sysv_229-5ubuntu1_s390x.deb ... Unpacking systemd-sysv (229-5ubuntu1) over (229-4ubuntu4) ... Setting up systemd-sysv (229-5ubuntu1) ... (Reading database ... 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Unpacking libsasl2-2:s390x (2.1.26.dfsg1-15) over (2.1.26.dfsg1-14build1) ... Selecting previously unselected package libpng16-16:s390x. Preparing to unpack .../libpng16-16_1.6.21-4_s390x.deb ... Unpacking libpng16-16:s390x (1.6.21-4) ... Preparing to unpack .../linux-libc-dev_4.4.0-22.38_s390x.deb ... Unpacking linux-libc-dev:s390x (4.4.0-22.38) over (4.4.0-21.37) ... Preparing to unpack .../archives/make_4.1-9_s390x.deb ... Unpacking make (4.1-9) over (4.1-6) ... Preparing to unpack .../optipng_0.7.6-1build1_s390x.deb ... Unpacking optipng (0.7.6-1build1) over (0.7.6-1) ... Preparing to unpack .../policyrcd-script-zg2_0.1-3_all.deb ... Unpacking policyrcd-script-zg2 (0.1-3) over (0.1-2) ... Processing triggers for libc-bin (2.23-0ubuntu3) ... Setting up sysv-rc (2.88dsf-59.3ubuntu4) ... Setting up initscripts (2.88dsf-59.3ubuntu4) ... Setting up tzdata (2016d-2) ... Current default time zone: 'Etc/UTC' Local time is now: Wed Apr 27 00:48:09 UTC 2016. Universal Time is now: Wed Apr 27 00:48:09 UTC 2016. Run 'dpkg-reconfigure tzdata' if you wish to change it. Setting up libgomp1:s390x (6.0.1-2ubuntu13) ... Setting up gcc-5-base:s390x (5.3.1-16ubuntu2) ... Setting up cpp-5 (5.3.1-16ubuntu2) ... Setting up libcc1-0:s390x (6.0.1-2ubuntu13) ... Setting up binutils (2.26-8ubuntu3) ... Setting up libitm1:s390x (6.0.1-2ubuntu13) ... Setting up libatomic1:s390x (6.0.1-2ubuntu13) ... Setting up libgcc-5-dev:s390x (5.3.1-16ubuntu2) ... Setting up gcc-5 (5.3.1-16ubuntu2) ... Setting up libstdc++-5-dev:s390x (5.3.1-16ubuntu2) ... Setting up g++-5 (5.3.1-16ubuntu2) ... Setting up libpng12-0:s390x (1.2.54-6ubuntu1) ... Setting up libslang2:s390x (2.3.0-2.3ubuntu1) ... Setting up libtasn1-6:s390x (4.8-1) ... Setting up apt-transport-https (1.2.11) ... Setting up libsasl2-modules-db:s390x (2.1.26.dfsg1-15) ... Setting up libsasl2-2:s390x (2.1.26.dfsg1-15) ... Setting up libpng16-16:s390x (1.6.21-4) ... Setting up linux-libc-dev:s390x (4.4.0-22.38) ... Setting up make (4.1-9) ... Setting up optipng (0.7.6-1build1) ... Setting up policyrcd-script-zg2 (0.1-3) ... Processing triggers for libc-bin (2.23-0ubuntu3) ... RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package ['sbuild-package', 'PACKAGEBUILD-9647163', 's390x', 'yakkety-proposed', '-c', 'chroot:autobuild', '--arch=s390x', '--dist=yakkety-proposed', '--purge=never', '--nolog', 'scikit-learn_0.17.1-2.dsc'] Initiating build PACKAGEBUILD-9647163 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-21-generic #37-Ubuntu SMP Mon Apr 18 18:31:26 UTC 2016 s390x sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on z13-002.buildd +==============================================================================+ | scikit-learn 0.17.1-2 (s390x) 27 Apr 2016 00:48 | +==============================================================================+ Package: scikit-learn Version: 0.17.1-2 Source Version: 0.17.1-2 Distribution: yakkety-proposed Machine Architecture: s390x Host Architecture: s390x Build Architecture: s390x I: NOTICE: Log filtering will replace 'build/scikit-learn-_Sc9aT/scikit-learn-0.17.1' with '<>' I: NOTICE: Log filtering will replace 'build/scikit-learn-_Sc9aT' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-9647163/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- scikit-learn_0.17.1-2.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-Mf3LCF/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-Mf3LCF/apt_archive ./ InRelease Get:2 copy:/<>/resolver-Mf3LCF/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-Mf3LCF/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-Mf3LCF/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-Mf3LCF/apt_archive ./ Packages [526 B] Fetched 2859 B in 0s (0 B/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libpng12-0 Use 'sudo apt autoremove' to remove it. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 772 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-Mf3LCF/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [772 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 772 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 11914 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_s390x.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base Filtered Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base dpkg-deb: building package 'sbuild-build-depends-scikit-learn-dummy' in '/<>/resolver-iop3xG/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'. Ign:1 copy:/<>/resolver-iop3xG/apt_archive ./ InRelease Get:2 copy:/<>/resolver-iop3xG/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-iop3xG/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-iop3xG/apt_archive ./ Sources [348 B] Get:5 copy:/<>/resolver-iop3xG/apt_archive ./ Packages [669 B] Fetched 3136 B in 0s (0 B/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install scikit-learn build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libpng12-0 Use 'sudo apt autoremove' to remove it. The following additional packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base intltool-debian libarchive-zip-perl libasprintf0v5 libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3 libavahi-common-data libavahi-common3 libblas-common libblas3 libcairo2 libcroco3 libcups2 libdatrie1 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libicu57 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3 libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.5 libpython3.5-dev libpython3.5-minimal libpython3.5-stdlib libsigsegv2 libsvm-dev libsvm3 libtcl8.6 libthai-data libthai0 libtiff5 libtimedate-perl libtk8.6 libtool libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 m4 man-db mime-support po-debconf python python-all python-all-dev python-cycler python-dateutil python-decorator python-dev python-joblib python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-pyparsing python-scipy python-setuptools python-six python-tz python2.7 python2.7-dev python2.7-minimal python3 python3-all python3-all-dev python3-cycler python3-dateutil python3-decorator python3-dev python3-joblib python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-pyparsing python3-scipy python3-setuptools python3-six python3-tz python3.5 python3.5-dev python3.5-minimal shared-mime-info ttf-bitstream-vera ucf x11-common Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation cython-doc dh-make gettext-doc groff cups-common librsvg2-common gvfs libjs-jquery-ui-docs tcl8.6 tk8.6 libtool-doc gfortran | fortran95-compiler gcj-jdk less www-browser libmail-box-perl python-doc python-tk dvipng ffmpeg gir1.2-gtk-3.0 ghostscript inkscape ipython python-cairocffi python-configobj python-excelerator python-gobject python-gtk2 python-matplotlib-doc python-qt4 python-sip python-tornado python-traits python-wxgtk3.0 texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage python-nose-doc gfortran python-numpy-dbg python-numpy-doc python-scipy-doc python-setuptools-doc python2.7-doc binfmt-support python3-doc python3-tk python3-venv ipython3 python3-cairocffi python3-gi python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado python3-numpy-dbg python3.5-venv python3.5-doc Recommended packages: curl | wget | lynx-cur libasprintf-dev libgettextpo-dev dbus libglib2.0-data xdg-user-dirs hicolor-icon-theme libgtk2.0-bin javascript-common libltdl-dev xml-core libmail-sendmail-perl python-simplejson python-glade2 python-imaging python-tk python3-simplejson python3-pil python3-tk The following NEW packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base intltool-debian libarchive-zip-perl libasprintf0v5 libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3 libavahi-common-data libavahi-common3 libblas-common libblas3 libcairo2 libcroco3 libcups2 libdatrie1 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libicu57 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3 libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.5 libpython3.5-dev libpython3.5-minimal libpython3.5-stdlib libsigsegv2 libsvm-dev libsvm3 libtcl8.6 libthai-data libthai0 libtiff5 libtimedate-perl libtk8.6 libtool libunistring0 libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 m4 man-db mime-support po-debconf python python-all python-all-dev python-cycler python-dateutil python-decorator python-dev python-joblib python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-pyparsing python-scipy python-setuptools python-six python-tz python2.7 python2.7-dev python2.7-minimal python3 python3-all python3-all-dev python3-cycler python3-dateutil python3-decorator python3-dev python3-joblib python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-pyparsing python3-scipy python3-setuptools python3-six python3-tz python3.5 python3.5-dev python3.5-minimal sbuild-build-depends-scikit-learn-dummy shared-mime-info ttf-bitstream-vera ucf x11-common 0 upgraded, 157 newly installed, 0 to remove and 0 not upgraded. Need to get 138 MB of archives. After this operation, 406 MB of additional disk space will be used. 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2:1.6.3-1ubuntu2 [113 kB] Get:41 http://ftpmaster.internal/ubuntu yakkety/main s390x libx11-6 s390x 2:1.6.3-1ubuntu2 [544 kB] Get:42 http://ftpmaster.internal/ubuntu yakkety/main s390x libxext6 s390x 2:1.3.3-1 [27.8 kB] Get:43 http://ftpmaster.internal/ubuntu yakkety/main s390x libicu57 s390x 57.1-1 [7509 kB] Get:44 http://ftpmaster.internal/ubuntu yakkety/main s390x libxml2 s390x 2.9.3+dfsg1-1build1 [640 kB] Get:45 http://ftpmaster.internal/ubuntu yakkety/main s390x shared-mime-info s390x 1.5-2 [405 kB] Get:46 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libsigsegv2 s390x 2.10-5 [13.5 kB] Get:47 http://ftpmaster.internal/ubuntu yakkety/main s390x m4 s390x 1.4.17-5 [192 kB] Get:48 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x autoconf all 2.69-10 [321 kB] Get:49 http://ftpmaster.internal/ubuntu yakkety/main s390x autotools-dev all 20150820.1 [39.8 kB] Get:50 http://ftpmaster.internal/ubuntu yakkety/main s390x automake all 1:1.15-4ubuntu1 [510 kB] Get:51 http://ftpmaster.internal/ubuntu yakkety/main s390x autopoint all 0.19.7-2ubuntu3 [406 kB] Get:52 http://ftpmaster.internal/ubuntu yakkety/universe s390x cython s390x 0.23.4-0ubuntu5 [1377 kB] Get:53 http://ftpmaster.internal/ubuntu yakkety/universe s390x cython3 s390x 0.23.4-0ubuntu5 [1376 kB] Get:54 http://ftpmaster.internal/ubuntu yakkety/main s390x libcroco3 s390x 0.6.11-1 [76.5 kB] Get:55 http://ftpmaster.internal/ubuntu yakkety/main s390x libunistring0 s390x 0.9.3-5.2ubuntu1 [262 kB] Get:56 http://ftpmaster.internal/ubuntu yakkety/main s390x gettext s390x 0.19.7-2ubuntu3 [1052 kB] Get:57 http://ftpmaster.internal/ubuntu yakkety/main s390x intltool-debian all 0.35.0+20060710.4 [24.9 kB] Get:58 http://ftpmaster.internal/ubuntu yakkety/main s390x po-debconf all 1.0.19 [234 kB] Get:59 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libarchive-zip-perl all 1.57-1 [84.0 kB] Get:60 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libfile-stripnondeterminism-perl all 0.016-1 [11.0 kB] Get:61 http://ftpmaster.internal/ubuntu yakkety/main s390x libtimedate-perl all 2.3000-2 [37.5 kB] Get:62 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x dh-strip-nondeterminism all 0.016-1 [4858 B] Get:63 http://ftpmaster.internal/ubuntu yakkety/main s390x libtool all 2.4.6-0.1 [193 kB] Get:64 http://ftpmaster.internal/ubuntu yakkety/main s390x dh-autoreconf all 12 [15.8 kB] Get:65 http://ftpmaster.internal/ubuntu yakkety/main s390x debhelper all 9.20160403ubuntu1 [711 kB] Get:66 http://ftpmaster.internal/ubuntu yakkety/universe s390x fonts-lyx all 2.1.4-2build1 [161 kB] Get:67 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libatk1.0-data all 2.20.0-1 [17.5 kB] Get:68 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libatk1.0-0 s390x 2.20.0-1 [55.7 kB] Get:69 http://ftpmaster.internal/ubuntu yakkety/main s390x libgfortran3 s390x 6.0.1-2ubuntu13 [235 kB] Get:70 http://ftpmaster.internal/ubuntu yakkety/main s390x libblas-common s390x 3.6.0-2ubuntu2 [5334 B] Get:71 http://ftpmaster.internal/ubuntu yakkety/universe s390x libatlas3-base s390x 3.10.2-9 [2437 kB] Get:72 http://ftpmaster.internal/ubuntu yakkety/main s390x libavahi-common-data s390x 0.6.32~rc+dfsg-1ubuntu2 [21.9 kB] Get:73 http://ftpmaster.internal/ubuntu yakkety/main s390x libavahi-common3 s390x 0.6.32~rc+dfsg-1ubuntu2 [20.4 kB] Get:74 http://ftpmaster.internal/ubuntu yakkety/main s390x libavahi-client3 s390x 0.6.32~rc+dfsg-1ubuntu2 [22.8 kB] Get:75 http://ftpmaster.internal/ubuntu yakkety/main s390x libblas3 s390x 3.6.0-2ubuntu2 [126 kB] Get:76 http://ftpmaster.internal/ubuntu yakkety/main s390x libpixman-1-0 s390x 0.33.6-1 [138 kB] Get:77 http://ftpmaster.internal/ubuntu yakkety/main s390x libxcb-render0 s390x 1.11.1-1ubuntu1 [11.4 kB] Get:78 http://ftpmaster.internal/ubuntu yakkety/main s390x libxcb-shm0 s390x 1.11.1-1ubuntu1 [5488 B] Get:79 http://ftpmaster.internal/ubuntu yakkety/main s390x libxrender1 s390x 1:0.9.9-0ubuntu1 [17.6 kB] Get:80 http://ftpmaster.internal/ubuntu yakkety/main s390x libcairo2 s390x 1.14.6-1build1 [519 kB] Get:81 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libcups2 s390x 2.1.3-5 [184 kB] Get:82 http://ftpmaster.internal/ubuntu yakkety/main s390x libdatrie1 s390x 0.2.10-2 [17.3 kB] Get:83 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libexpat1-dev s390x 2.1.1-1 [118 kB] Get:84 http://ftpmaster.internal/ubuntu yakkety/main s390x libjpeg8 s390x 8c-2ubuntu8 [2142 B] Get:85 http://ftpmaster.internal/ubuntu yakkety/main s390x libjbig0 s390x 2.1-3.1 [26.6 kB] Get:86 http://ftpmaster.internal/ubuntu yakkety/main s390x libtiff5 s390x 4.0.6-1 [139 kB] Get:87 http://ftpmaster.internal/ubuntu yakkety/main s390x libgdk-pixbuf2.0-common all 2.34.0-1ubuntu1 [10.3 kB] Get:88 http://ftpmaster.internal/ubuntu yakkety/main s390x libgdk-pixbuf2.0-0 s390x 2.34.0-1ubuntu1 [152 kB] Get:89 http://ftpmaster.internal/ubuntu yakkety/main s390x libgraphite2-3 s390x 1.3.6-1ubuntu1 [65.3 kB] Get:90 http://ftpmaster.internal/ubuntu yakkety/main s390x libgtk2.0-common all 2.24.30-1ubuntu1 [123 kB] Get:91 http://ftpmaster.internal/ubuntu yakkety/main s390x libthai-data all 0.1.24-2 [131 kB] Get:92 http://ftpmaster.internal/ubuntu yakkety/main s390x libthai0 s390x 0.1.24-2 [17.7 kB] Get:93 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libpango-1.0-0 s390x 1.40.1-1 [145 kB] Get:94 http://ftpmaster.internal/ubuntu yakkety/main s390x libharfbuzz0b s390x 1.2.6-2 [172 kB] Get:95 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libpangoft2-1.0-0 s390x 1.40.1-1 [32.0 kB] Get:96 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libpangocairo-1.0-0 s390x 1.40.1-1 [19.2 kB] Get:97 http://ftpmaster.internal/ubuntu yakkety/main s390x libxcomposite1 s390x 1:0.4.4-1 [6876 B] Get:98 http://ftpmaster.internal/ubuntu yakkety/main s390x libxfixes3 s390x 1:5.0.1-2 [10.7 kB] Get:99 http://ftpmaster.internal/ubuntu yakkety/main s390x libxcursor1 s390x 1:1.1.14-1 [20.1 kB] Get:100 http://ftpmaster.internal/ubuntu yakkety/main s390x libxdamage1 s390x 1:1.1.4-2 [6726 B] Get:101 http://ftpmaster.internal/ubuntu yakkety/main s390x libxi6 s390x 2:1.7.6-1 [27.0 kB] Get:102 http://ftpmaster.internal/ubuntu yakkety/main s390x libxinerama1 s390x 2:1.1.3-1 [7002 B] Get:103 http://ftpmaster.internal/ubuntu yakkety/main s390x libxrandr2 s390x 2:1.5.0-1 [17.0 kB] Get:104 http://ftpmaster.internal/ubuntu yakkety/main s390x libgtk2.0-0 s390x 2.24.30-1ubuntu1 [1638 kB] Get:105 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x libjs-jquery all 1.12.3-1 [166 kB] Get:106 http://ftpmaster.internal/ubuntu yakkety/universe s390x libjs-jquery-ui all 1.10.1+dfsg-1 [458 kB] Get:107 http://ftpmaster.internal/ubuntu yakkety/main s390x liblapack3 s390x 3.6.0-2ubuntu2 [1496 kB] Get:108 http://ftpmaster.internal/ubuntu yakkety/main s390x libpython2.7 s390x 2.7.11-7ubuntu1 [998 kB] Get:109 http://ftpmaster.internal/ubuntu yakkety/main 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http://ftpmaster.internal/ubuntu yakkety/main s390x python3-pyparsing all 2.0.3+dfsg1-1 [35.4 kB] Get:150 http://ftpmaster.internal/ubuntu yakkety/main s390x python3-tz all 2014.10~dfsg1-0ubuntu2 [24.6 kB] Get:151 http://ftpmaster.internal/ubuntu yakkety/main s390x python3-numpy s390x 1:1.11.0-1ubuntu1 [1672 kB] Get:152 http://ftpmaster.internal/ubuntu yakkety/universe s390x python3-matplotlib s390x 1.5.1-1ubuntu2 [3837 kB] Get:153 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x python3-pkg-resources all 20.10.1-1 [79.0 kB] Get:154 http://ftpmaster.internal/ubuntu yakkety/main s390x python3-nose all 1.3.7-1 [116 kB] Get:155 http://ftpmaster.internal/ubuntu yakkety-proposed/main s390x python3-setuptools all 20.10.1-1 [88.3 kB] Get:156 http://ftpmaster.internal/ubuntu yakkety/universe s390x python-scipy s390x 0.17.0-1 [8050 kB] Get:157 http://ftpmaster.internal/ubuntu yakkety/universe s390x python3-scipy s390x 0.17.0-1 [7649 kB] debconf: delaying package configuration, since 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(Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 14272 files and directories currently installed.) Preparing to unpack .../python_2.7.11-1_s390x.deb ... Unpacking python (2.7.11-1) ... Selecting previously unselected package libmagic1:s390x. Preparing to unpack .../libmagic1_1%3a5.25-2ubuntu1_s390x.deb ... Unpacking libmagic1:s390x (1:5.25-2ubuntu1) ... Selecting previously unselected package file. Preparing to unpack .../file_1%3a5.25-2ubuntu1_s390x.deb ... Unpacking file (1:5.25-2ubuntu1) ... 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Setting up bsdmainutils (9.0.6ubuntu3) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up libpipeline1:s390x (1.4.1-2) ... Setting up man-db (2.7.5-1) ... Not building database; man-db/auto-update is not 'true'. Setting up ttf-bitstream-vera (1.10-8) ... Setting up ucf (3.0036) ... Setting up fontconfig-config (2.11.94-0ubuntu1) ... Setting up libfreetype6:s390x (2.6.1-0.1ubuntu3) ... Setting up libfontconfig1:s390x (2.11.94-0ubuntu1) ... Setting up fontconfig (2.11.94-0ubuntu1) ... Regenerating fonts cache... done. Setting up libjpeg-turbo8:s390x (1.4.2-0ubuntu3) ... Setting up libpython2.7-stdlib:s390x (2.7.11-7ubuntu1) ... Setting up python2.7 (2.7.11-7ubuntu1) ... Setting up libpython-stdlib:s390x (2.7.11-1) ... Setting up python (2.7.11-1) ... Setting up libmagic1:s390x (1:5.25-2ubuntu1) ... Setting up file (1:5.25-2ubuntu1) ... Setting up libasprintf0v5:s390x (0.19.7-2ubuntu3) ... Setting up gettext-base (0.19.7-2ubuntu3) ... Setting up libdbus-1-3:s390x (1.10.6-1ubuntu3) ... Setting up libglib2.0-0:s390x (2.48.0-1ubuntu4) ... No schema files found: doing nothing. Setting up libxau6:s390x (1:1.0.8-1) ... Setting up libxdmcp6:s390x (1:1.1.2-1.1) ... Setting up libxcb1:s390x (1.11.1-1ubuntu1) ... Setting up libx11-data (2:1.6.3-1ubuntu2) ... Setting up libx11-6:s390x (2:1.6.3-1ubuntu2) ... Setting up libxext6:s390x (2:1.3.3-1) ... Setting up libicu57:s390x (57.1-1) ... Setting up libxml2:s390x (2.9.3+dfsg1-1build1) ... Setting up shared-mime-info (1.5-2) ... Setting up libsigsegv2:s390x (2.10-5) ... Setting up m4 (1.4.17-5) ... Setting up autoconf (2.69-10) ... Setting up autotools-dev (20150820.1) ... Setting up automake (1:1.15-4ubuntu1) ... update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode Setting up autopoint (0.19.7-2ubuntu3) ... Setting up cython (0.23.4-0ubuntu5) ... Setting up libcroco3:s390x (0.6.11-1) ... Setting up libunistring0:s390x (0.9.3-5.2ubuntu1) ... Setting up gettext (0.19.7-2ubuntu3) ... Setting up intltool-debian (0.35.0+20060710.4) ... Setting up po-debconf (1.0.19) ... Setting up libarchive-zip-perl (1.57-1) ... Setting up libfile-stripnondeterminism-perl (0.016-1) ... Setting up libtimedate-perl (2.3000-2) ... Setting up libtool (2.4.6-0.1) ... Setting up fonts-lyx (2.1.4-2build1) ... Setting up libatk1.0-data (2.20.0-1) ... Setting up libatk1.0-0:s390x (2.20.0-1) ... Setting up libgfortran3:s390x (6.0.1-2ubuntu13) ... Setting up libblas-common (3.6.0-2ubuntu2) ... Setting up libatlas3-base (3.10.2-9) ... update-alternatives: using /usr/lib/atlas-base/atlas/libblas.so.3 to provide /usr/lib/libblas.so.3 (libblas.so.3) in auto mode update-alternatives: using /usr/lib/atlas-base/atlas/liblapack.so.3 to provide /usr/lib/liblapack.so.3 (liblapack.so.3) in auto mode Setting up libavahi-common-data:s390x (0.6.32~rc+dfsg-1ubuntu2) ... Setting up libavahi-common3:s390x (0.6.32~rc+dfsg-1ubuntu2) ... Setting up libavahi-client3:s390x (0.6.32~rc+dfsg-1ubuntu2) ... Setting up libblas3 (3.6.0-2ubuntu2) ... Setting up libpixman-1-0:s390x (0.33.6-1) ... Setting up libxcb-render0:s390x (1.11.1-1ubuntu1) ... Setting up libxcb-shm0:s390x (1.11.1-1ubuntu1) ... Setting up libxrender1:s390x (1:0.9.9-0ubuntu1) ... Setting up libcairo2:s390x (1.14.6-1build1) ... Setting up libcups2:s390x (2.1.3-5) ... Setting up libdatrie1:s390x (0.2.10-2) ... Setting up libexpat1-dev:s390x (2.1.1-1) ... Setting up libjpeg8:s390x (8c-2ubuntu8) ... Setting up libjbig0:s390x (2.1-3.1) ... Setting up libtiff5:s390x (4.0.6-1) ... Setting up libgdk-pixbuf2.0-common (2.34.0-1ubuntu1) ... Setting up libgdk-pixbuf2.0-0:s390x (2.34.0-1ubuntu1) ... Setting up libgraphite2-3:s390x (1.3.6-1ubuntu1) ... Setting up libgtk2.0-common (2.24.30-1ubuntu1) ... Setting up libthai-data (0.1.24-2) ... Setting up libthai0:s390x (0.1.24-2) ... Setting up libpango-1.0-0:s390x (1.40.1-1) ... Setting up libharfbuzz0b:s390x (1.2.6-2) ... Setting up libpangoft2-1.0-0:s390x (1.40.1-1) ... Setting up libpangocairo-1.0-0:s390x (1.40.1-1) ... Setting up libxcomposite1:s390x (1:0.4.4-1) ... Setting up libxfixes3:s390x (1:5.0.1-2) ... Setting up libxcursor1:s390x (1:1.1.14-1) ... Setting up libxdamage1:s390x (1:1.1.4-2) ... Setting up libxi6:s390x (2:1.7.6-1) ... Setting up libxinerama1:s390x (2:1.1.3-1) ... Setting up libxrandr2:s390x (2:1.5.0-1) ... Setting up libgtk2.0-0:s390x (2.24.30-1ubuntu1) ... Setting up libjs-jquery (1.12.3-1) ... Setting up libjs-jquery-ui (1.10.1+dfsg-1) ... Setting up liblapack3 (3.6.0-2ubuntu2) ... Setting up libpython2.7:s390x (2.7.11-7ubuntu1) ... Setting up libpython2.7-dev:s390x (2.7.11-7ubuntu1) ... Setting up libpython-dev:s390x (2.7.11-1) ... Setting up libpython-all-dev:s390x (2.7.11-1) ... Setting up libpython3.5:s390x (3.5.1-10) ... Setting up libpython3.5-dev:s390x (3.5.1-10) ... Setting up libpython3-dev:s390x (3.5.1-3) ... Setting up libpython3-all-dev:s390x (3.5.1-3) ... Setting up libsvm3 (3.12-1.1) ... Setting up libsvm-dev (3.12-1.1) ... Setting up libtcl8.6:s390x (8.6.5+dfsg-2) ... Setting up libxft2:s390x (2.3.2-1) ... Setting up x11-common (1:7.7+13ubuntu3) ... update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up libxss1:s390x (1:1.2.2-1) ... Setting up libtk8.6:s390x (8.6.5-1) ... Setting up python-all (2.7.11-1) ... Setting up python2.7-dev (2.7.11-7ubuntu1) ... Setting up python-dev (2.7.11-1) ... Setting up python-all-dev (2.7.11-1) ... Setting up python-six (1.10.0-3) ... Setting up python-cycler (0.9.0-1) ... Setting up python-dateutil (2.4.2-1) ... Setting up python-decorator (4.0.6-1) ... Setting up python-joblib (0.9.4-1) ... Setting up python-matplotlib-data (1.5.1-1ubuntu2) ... Setting up python-pyparsing (2.0.3+dfsg1-1) ... Setting up python-tz (2014.10~dfsg1-0ubuntu2) ... Setting up python-numpy (1:1.11.0-1ubuntu1) ... Setting up python-matplotlib (1.5.1-1ubuntu2) ... Setting up python-pkg-resources (20.10.1-1) ... Setting up python-nose (1.3.7-1) ... Setting up python-setuptools (20.10.1-1) ... Setting up python3.5-dev (3.5.1-10) ... Setting up python-scipy (0.17.0-1) ... Setting up dh-python (2.20151103ubuntu1) ... Setting up python3 (3.5.1-3) ... Setting up cython3 (0.23.4-0ubuntu5) ... Setting up dh-strip-nondeterminism (0.016-1) ... Setting up dh-autoreconf (12) ... Setting up python3-all (3.5.1-3) ... Setting up python3-dev (3.5.1-3) ... Setting up python3-all-dev (3.5.1-3) ... Setting up python3-six (1.10.0-3) ... Setting up python3-cycler (0.9.0-1) ... Setting up python3-dateutil (2.4.2-1) ... Setting up python3-decorator (4.0.6-1) ... Setting up python3-joblib (0.9.4-1) ... Setting up python3-pyparsing (2.0.3+dfsg1-1) ... Setting up python3-tz (2014.10~dfsg1-0ubuntu2) ... Setting up python3-numpy (1:1.11.0-1ubuntu1) ... Setting up python3-matplotlib (1.5.1-1ubuntu2) ... Setting up python3-pkg-resources (20.10.1-1) ... Setting up python3-nose (1.3.7-1) ... Setting up python3-setuptools (20.10.1-1) ... Setting up python3-scipy (0.17.0-1) ... Setting up debhelper (9.20160403ubuntu1) ... Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ... Processing triggers for libc-bin (2.23-0ubuntu3) ... Processing triggers for systemd (229-5ubuntu1) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-21-generic s390x (s390x) Toolchain package versions: binutils_2.26-8ubuntu3 dpkg-dev_1.18.4ubuntu1 g++-5_5.3.1-16ubuntu2 gcc-5_5.3.1-16ubuntu2 libc6-dev_2.23-0ubuntu3 libstdc++-5-dev_5.3.1-16ubuntu2 libstdc++6_6.0.1-2ubuntu13 linux-libc-dev_4.4.0-22.38 Package versions: adduser_3.113+nmu3ubuntu4 advancecomp_1.20-1 apt_1.2.11 apt-transport-https_1.2.11 autoconf_2.69-10 automake_1:1.15-4ubuntu1 autopoint_0.19.7-2ubuntu3 autotools-dev_20150820.1 base-files_9.6ubuntu1 base-passwd_3.5.39 bash_4.3-14ubuntu2 binutils_2.26-8ubuntu3 bsdmainutils_9.0.6ubuntu3 bsdutils_1:2.27.1-6ubuntu3 build-essential_12.1ubuntu2 bzip2_1.0.6-8 ca-certificates_20160104ubuntu1 coreutils_8.25-2ubuntu2 cpp_4:5.3.1-1ubuntu1 cpp-5_5.3.1-16ubuntu2 cython_0.23.4-0ubuntu5 cython3_0.23.4-0ubuntu5 dash_0.5.8-2.1ubuntu2 debconf_1.5.58ubuntu1 debhelper_9.20160403ubuntu1 debianutils_4.7 dh-autoreconf_12 dh-python_2.20151103ubuntu1 dh-strip-nondeterminism_0.016-1 diffutils_1:3.3-3 dmsetup_2:1.02.110-1ubuntu10 dpkg_1.18.4ubuntu1 dpkg-dev_1.18.4ubuntu1 e2fslibs_1.42.13-1ubuntu1 e2fsprogs_1.42.13-1ubuntu1 fakeroot_1.20.2-1ubuntu1 file_1:5.25-2ubuntu1 findutils_4.6.0+git+20160126-2 fontconfig_2.11.94-0ubuntu1 fontconfig-config_2.11.94-0ubuntu1 fonts-lyx_2.1.4-2build1 g++_4:5.3.1-1ubuntu1 g++-5_5.3.1-16ubuntu2 gcc_4:5.3.1-1ubuntu1 gcc-5_5.3.1-16ubuntu2 gcc-5-base_5.3.1-16ubuntu2 gcc-6-base_6.0.1-2ubuntu13 gettext_0.19.7-2ubuntu3 gettext-base_0.19.7-2ubuntu3 gnupg_1.4.20-1ubuntu3 gpgv_1.4.20-1ubuntu3 grep_2.25-1 groff-base_1.22.3-7 gzip_1.6-4ubuntu1 hostname_3.17ubuntu1 init_1.31ubuntu1 init-system-helpers_1.31ubuntu1 initscripts_2.88dsf-59.3ubuntu4 insserv_1.14.0-5ubuntu3 intltool-debian_0.35.0+20060710.4 libacl1_2.2.52-3 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libdevmapper1.02.1_2:1.02.110-1ubuntu10 libdpkg-perl_1.18.4ubuntu1 libexpat1_2.1.1-1 libexpat1-dev_2.1.1-1 libfakeroot_1.20.2-1ubuntu1 libfdisk1_2.27.1-6ubuntu3 libffi6_3.2.1-4 libfile-stripnondeterminism-perl_0.016-1 libfontconfig1_2.11.94-0ubuntu1 libfreetype6_2.6.1-0.1ubuntu3 libgcc-5-dev_5.3.1-16ubuntu2 libgcc1_1:6.0.1-2ubuntu13 libgcrypt20_1.7.0-2 libgdbm3_1.8.3-13.1 libgdk-pixbuf2.0-0_2.34.0-1ubuntu1 libgdk-pixbuf2.0-common_2.34.0-1ubuntu1 libgfortran3_6.0.1-2ubuntu13 libglib2.0-0_2.48.0-1ubuntu4 libgmp10_2:6.1.0+dfsg-2 libgnutls30_3.4.10-4ubuntu1 libgomp1_6.0.1-2ubuntu13 libgpg-error0_1.21-2ubuntu1 libgraphite2-3_1.3.6-1ubuntu1 libgssapi-krb5-2_1.13.2+dfsg-5 libgssapi3-heimdal_1.7~git20150920+dfsg-4ubuntu1 libgtk2.0-0_2.24.30-1ubuntu1 libgtk2.0-common_2.24.30-1ubuntu1 libharfbuzz0b_1.2.6-2 libhcrypto4-heimdal_1.7~git20150920+dfsg-4ubuntu1 libheimbase1-heimdal_1.7~git20150920+dfsg-4ubuntu1 libheimntlm0-heimdal_1.7~git20150920+dfsg-4ubuntu1 libhogweed4_3.2-1 libhx509-5-heimdal_1.7~git20150920+dfsg-4ubuntu1 libicu57_57.1-1 libidn11_1.32-3ubuntu1 libisl15_0.16.1-1 libitm1_6.0.1-2ubuntu13 libjbig0_2.1-3.1 libjpeg-turbo8_1.4.2-0ubuntu3 libjpeg8_8c-2ubuntu8 libjs-jquery_1.12.3-1 libjs-jquery-ui_1.10.1+dfsg-1 libk5crypto3_1.13.2+dfsg-5 libkeyutils1_1.5.9-8ubuntu1 libkmod2_22-1ubuntu4 libkrb5-26-heimdal_1.7~git20150920+dfsg-4ubuntu1 libkrb5-3_1.13.2+dfsg-5 libkrb5support0_1.13.2+dfsg-5 liblapack3_3.6.0-2ubuntu2 libldap-2.4-2_2.4.42+dfsg-2ubuntu3 liblockfile-bin_1.09-6ubuntu1 liblockfile1_1.09-6ubuntu1 liblz4-1_0.0~r131-2ubuntu2 liblzma5_5.1.1alpha+20120614-2ubuntu2 libmagic1_1:5.25-2ubuntu1 libmount1_2.27.1-6ubuntu3 libmpc3_1.0.3-1 libmpdec2_2.4.2-1 libmpfr4_3.1.4-1 libncurses5_6.0+20160213-1ubuntu1 libncursesw5_6.0+20160213-1ubuntu1 libnettle6_3.2-1 libp11-kit0_0.23.2-3 libpam-modules_1.1.8-3.2ubuntu2 libpam-modules-bin_1.1.8-3.2ubuntu2 libpam-runtime_1.1.8-3.2ubuntu2 libpam0g_1.1.8-3.2ubuntu2 libpango-1.0-0_1.40.1-1 libpangocairo-1.0-0_1.40.1-1 libpangoft2-1.0-0_1.40.1-1 libpcre3_2:8.38-3.1 libperl5.22_5.22.1-9 libpipeline1_1.4.1-2 libpixman-1-0_0.33.6-1 libpng12-0_1.2.54-6ubuntu1 libpng16-16_1.6.21-4 libprocps4_2:3.3.10-4ubuntu2 libpython-all-dev_2.7.11-1 libpython-dev_2.7.11-1 libpython-stdlib_2.7.11-1 libpython2.7_2.7.11-7ubuntu1 libpython2.7-dev_2.7.11-7ubuntu1 libpython2.7-minimal_2.7.11-7ubuntu1 libpython2.7-stdlib_2.7.11-7ubuntu1 libpython3-all-dev_3.5.1-3 libpython3-dev_3.5.1-3 libpython3-stdlib_3.5.1-3 libpython3.5_3.5.1-10 libpython3.5-dev_3.5.1-10 libpython3.5-minimal_3.5.1-10 libpython3.5-stdlib_3.5.1-10 libreadline6_6.3-8ubuntu2 libroken18-heimdal_1.7~git20150920+dfsg-4ubuntu1 librtmp1_2.4+20151223.gitfa8646d-1build1 libsasl2-2_2.1.26.dfsg1-15 libsasl2-modules-db_2.1.26.dfsg1-15 libseccomp2_2.2.3-3ubuntu3 libselinux1_2.4-3build2 libsemanage-common_2.4-3build2 libsemanage1_2.4-3build2 libsepol1_2.5-1 libsigsegv2_2.10-5 libslang2_2.3.0-2.3ubuntu1 libsmartcols1_2.27.1-6ubuntu3 libsqlite3-0_3.11.0-1ubuntu1 libss2_1.42.13-1ubuntu1 libssl1.0.0_1.0.2g-1ubuntu4 libstdc++-5-dev_5.3.1-16ubuntu2 libstdc++6_6.0.1-2ubuntu13 libsvm-dev_3.12-1.1 libsvm3_3.12-1.1 libsystemd0_229-5ubuntu1 libtasn1-6_4.8-1 libtcl8.6_8.6.5+dfsg-2 libthai-data_0.1.24-2 libthai0_0.1.24-2 libtiff5_4.0.6-1 libtimedate-perl_2.3000-2 libtinfo5_6.0+20160213-1ubuntu1 libtk8.6_8.6.5-1 libtool_2.4.6-0.1 libudev1_229-5ubuntu1 libunistring0_0.9.3-5.2ubuntu1 libusb-0.1-4_2:0.1.12-28 libustr-1.0-1_1.0.4-5 libuuid1_2.27.1-6ubuntu3 libwind0-heimdal_1.7~git20150920+dfsg-4ubuntu1 libx11-6_2:1.6.3-1ubuntu2 libx11-data_2:1.6.3-1ubuntu2 libxau6_1:1.0.8-1 libxcb-render0_1.11.1-1ubuntu1 libxcb-shm0_1.11.1-1ubuntu1 libxcb1_1.11.1-1ubuntu1 libxcomposite1_1:0.4.4-1 libxcursor1_1:1.1.14-1 libxdamage1_1:1.1.4-2 libxdmcp6_1:1.1.2-1.1 libxext6_2:1.3.3-1 libxfixes3_1:5.0.1-2 libxft2_2.3.2-1 libxi6_2:1.7.6-1 libxinerama1_2:1.1.3-1 libxml2_2.9.3+dfsg1-1build1 libxrandr2_2:1.5.0-1 libxrender1_1:0.9.9-0ubuntu1 libxss1_1:1.2.2-1 linux-libc-dev_4.4.0-22.38 lockfile-progs_0.1.17 login_1:4.2-3.1ubuntu5 lsb-base_9.20160110 m4_1.4.17-5 make_4.1-9 man-db_2.7.5-1 mawk_1.3.3-17ubuntu2 mime-support_3.59ubuntu1 mount_2.27.1-6ubuntu3 multiarch-support_2.23-0ubuntu3 ncurses-base_6.0+20160213-1ubuntu1 ncurses-bin_6.0+20160213-1ubuntu1 openssl_1.0.2g-1ubuntu4 optipng_0.7.6-1build1 passwd_1:4.2-3.1ubuntu5 patch_2.7.5-1 perl_5.22.1-9 perl-base_5.22.1-9 perl-modules-5.22_5.22.1-9 pkg-create-dbgsym_0.72 pkgbinarymangler_129 po-debconf_1.0.19 policyrcd-script-zg2_0.1-3 procps_2:3.3.10-4ubuntu2 python_2.7.11-1 python-all_2.7.11-1 python-all-dev_2.7.11-1 python-cycler_0.9.0-1 python-dateutil_2.4.2-1 python-decorator_4.0.6-1 python-dev_2.7.11-1 python-joblib_0.9.4-1 python-matplotlib_1.5.1-1ubuntu2 python-matplotlib-data_1.5.1-1ubuntu2 python-minimal_2.7.11-1 python-nose_1.3.7-1 python-numpy_1:1.11.0-1ubuntu1 python-pkg-resources_20.10.1-1 python-pyparsing_2.0.3+dfsg1-1 python-scipy_0.17.0-1 python-setuptools_20.10.1-1 python-six_1.10.0-3 python-tz_2014.10~dfsg1-0ubuntu2 python2.7_2.7.11-7ubuntu1 python2.7-dev_2.7.11-7ubuntu1 python2.7-minimal_2.7.11-7ubuntu1 python3_3.5.1-3 python3-all_3.5.1-3 python3-all-dev_3.5.1-3 python3-cycler_0.9.0-1 python3-dateutil_2.4.2-1 python3-decorator_4.0.6-1 python3-dev_3.5.1-3 python3-joblib_0.9.4-1 python3-matplotlib_1.5.1-1ubuntu2 python3-minimal_3.5.1-3 python3-nose_1.3.7-1 python3-numpy_1:1.11.0-1ubuntu1 python3-pkg-resources_20.10.1-1 python3-pyparsing_2.0.3+dfsg1-1 python3-scipy_0.17.0-1 python3-setuptools_20.10.1-1 python3-six_1.10.0-3 python3-tz_2014.10~dfsg1-0ubuntu2 python3.5_3.5.1-10 python3.5-dev_3.5.1-10 python3.5-minimal_3.5.1-10 readline-common_6.3-8ubuntu2 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.2.2-7.1 sensible-utils_0.0.9 shared-mime-info_1.5-2 systemd_229-5ubuntu1 systemd-sysv_229-5ubuntu1 sysv-rc_2.88dsf-59.3ubuntu4 sysvinit-utils_2.88dsf-59.3ubuntu4 tar_1.28-2.1 ttf-bitstream-vera_1.10-8 tzdata_2016d-2 ubuntu-keyring_2012.05.19 ucf_3.0036 util-linux_2.27.1-6ubuntu3 x11-common_1:7.7+13ubuntu3 xz-utils_5.1.1alpha+20120614-2ubuntu2 zlib1g_1:1.2.8.dfsg-2ubuntu4 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Fri Apr 8 14:01:03 2016 UTC using RSA key ID 62DA33FA gpgv: Can't check signature: public key not found dpkg-source: warning: failed to verify signature on ./scikit-learn_0.17.1-2.dsc dpkg-source: info: extracting scikit-learn in scikit-learn-0.17.1 dpkg-source: info: unpacking scikit-learn_0.17.1.orig.tar.gz dpkg-source: info: unpacking scikit-learn_0.17.1-2.debian.tar.xz dpkg-source: info: applying changeset_07e34a70a9d8759362a354d6b1df0895c2b5acfa.diff dpkg-source: info: applying changeset_c206603a3ebb616f26c96f375a060f9dda02889e.diff dpkg-source: info: applying changeset_feb2bd95e7fad3a99a8e817cef9fabdf4284f515.diff dpkg-source: info: applying deb_no_tinyclues_external_image dpkg-source: info: applying deb_no_online_jquery dpkg-source: info: applying deb_disable_google_anals dpkg-source: info: applying up_workaround_buggy_pil dpkg-source: info: applying deb_skip_some_tests_on_arm dpkg-source: info: applying deb_use_system_joblib dpkg-source: info: applying deb_no_google_analytics dpkg-source: info: applying deb_git_revision_cmd dpkg-source: info: applying deb_no_plot_gallery dpkg-source: info: applying deb_optional_linkcode dpkg-source: info: applying deb_nopaypal dpkg-source: info: applying deb_tests_lower_precision Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/home/buildd LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd MAIL=/var/mail/buildd OLDPWD=/ PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games PWD=/<> SHELL=/bin/sh SUDO_COMMAND=/usr/sbin/chroot /<> su buildd -s /bin/sh -c cd '/<>' && 'env' SUDO_GID=2501 SUDO_UID=2001 SUDO_USER=buildd TERM=unknown USER=buildd USERNAME=root dpkg-buildpackage ----------------- dpkg-buildpackage: source package scikit-learn dpkg-buildpackage: source version 0.17.1-2 dpkg-buildpackage: source distribution unstable dpkg-source --before-build scikit-learn-0.17.1 dpkg-buildpackage: host architecture s390x fakeroot debian/rules clean Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh clean --buildsystem=python_distutils --with python2,python3,autoreconf dh_testdir -O--buildsystem=python_distutils dh_auto_clean -O--buildsystem=python_distutils python setup.py clean -a Partial import of sklearn during the build process. running clean 'build/lib.linux-s390x-2.7' does not exist -- can't clean it 'build/bdist.linux-s390x' does not exist -- can't clean it 'build/scripts-2.7' does not exist -- can't clean it find . -name \*.pyc -exec rm {} \+ dh_autoreconf_clean -O--buildsystem=python_distutils debian/rules override_dh_clean make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_clean make[1]: Leaving directory '/<>' debian/rules build-arch Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh build-arch --buildsystem=python_distutils --with python2,python3,autoreconf dh_testdir -a -O--buildsystem=python_distutils dh_update_autotools_config -a -O--buildsystem=python_distutils debian/rules override_dh_autoreconf make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_autoreconf debian/rules -- cythonize dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[2]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! D: removing previously generated by Cython sources find -iname *.c | xargs -r grep -l 'Generated by Cython' | xargs -r rm make cython make[3]: Entering directory '/<>' find sklearn -name "*.pyx" -exec cython {} \; warning: sklearn/utils/graph_shortest_path.pyx:382:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:382:34: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:382:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:403:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:403:30: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:403:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:498:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:498:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:562:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/utils/graph_shortest_path.pyx:562:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/datasets/_svmlight_format.pyx:32:14: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. warning: sklearn/datasets/_svmlight_format.pyx:32:25: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line. make[3]: Leaving directory '/<>' make[2]: Leaving directory '/<>' make[1]: Leaving directory '/<>' dh_auto_configure -a -O--buildsystem=python_distutils dh_auto_build -a -O--buildsystem=python_distutils python setup.py build --force Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1640: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1649: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) blas_src_info: NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1652: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. warnings.warn(BlasSrcNotFoundError.__doc__) NOT AVAILABLE sklearn/setup.py:67: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py creating build creating build/lib.linux-s390x-2.7 creating build/lib.linux-s390x-2.7/sklearn copying sklearn/dummy.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/lda.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/isotonic.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/grid_search.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/base.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/__init__.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/multiclass.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/naive_bayes.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/pipeline.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/_build_utils.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/setup.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/kernel_approximation.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/random_projection.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/cross_validation.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/kernel_ridge.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/learning_curve.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/calibration.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/qda.py -> build/lib.linux-s390x-2.7/sklearn copying sklearn/discriminant_analysis.py -> build/lib.linux-s390x-2.7/sklearn creating build/lib.linux-s390x-2.7/sklearn/__check_build copying sklearn/__check_build/__init__.py -> build/lib.linux-s390x-2.7/sklearn/__check_build copying sklearn/__check_build/setup.py -> build/lib.linux-s390x-2.7/sklearn/__check_build creating build/lib.linux-s390x-2.7/sklearn/svm copying sklearn/svm/bounds.py -> build/lib.linux-s390x-2.7/sklearn/svm copying sklearn/svm/base.py -> build/lib.linux-s390x-2.7/sklearn/svm copying sklearn/svm/__init__.py -> build/lib.linux-s390x-2.7/sklearn/svm copying sklearn/svm/setup.py -> build/lib.linux-s390x-2.7/sklearn/svm copying sklearn/svm/classes.py -> build/lib.linux-s390x-2.7/sklearn/svm creating build/lib.linux-s390x-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_svm.py -> build/lib.linux-s390x-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-s390x-2.7/sklearn/svm/tests copying sklearn/svm/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-s390x-2.7/sklearn/svm/tests creating build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/base.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/__init__.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/samples_generator.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/svmlight_format.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/lfw.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/setup.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/rcv1.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/mlcomp.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/mldata.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/california_housing.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/covtype.py -> build/lib.linux-s390x-2.7/sklearn/datasets copying sklearn/datasets/species_distributions.py -> build/lib.linux-s390x-2.7/sklearn/datasets creating build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-s390x-2.7/sklearn/datasets/tests creating build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/__init__.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/image.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/setup.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/hashing.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/text.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction creating build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests creating build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/birch.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/dbscan_.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/k_means_.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/bicluster.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/mean_shift_.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/__init__.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/hierarchical.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/setup.py -> build/lib.linux-s390x-2.7/sklearn/cluster copying sklearn/cluster/spectral.py -> build/lib.linux-s390x-2.7/sklearn/cluster creating build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/common.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-s390x-2.7/sklearn/cluster/tests creating build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/__init__.py -> build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/outlier_detection.py -> build/lib.linux-s390x-2.7/sklearn/covariance copying sklearn/covariance/robust_covariance.py -> build/lib.linux-s390x-2.7/sklearn/covariance creating build/lib.linux-s390x-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-s390x-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-s390x-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-s390x-2.7/sklearn/covariance/tests creating build/lib.linux-s390x-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-s390x-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-s390x-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-s390x-2.7/sklearn/cross_decomposition creating build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/dict_learning.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/fastica_.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/base.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/__init__.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/online_lda.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/setup.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition copying sklearn/decomposition/nmf.py -> build/lib.linux-s390x-2.7/sklearn/decomposition creating build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-s390x-2.7/sklearn/decomposition/tests creating build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/bagging.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/base.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/__init__.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/setup.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble copying sklearn/ensemble/forest.py -> build/lib.linux-s390x-2.7/sklearn/ensemble creating build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/ensemble/tests creating build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/from_model.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/base.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/__init__.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/rfe.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection creating build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-s390x-2.7/sklearn/feature_selection/tests creating build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/testing.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/validation.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/fixes.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/__init__.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/multiclass.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/stats.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/extmath.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/graph.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/setup.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/random.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/optimize.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/sparsefuncs.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/estimator_checks.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/class_weight.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/arpack.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/linear_assignment_.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/bench.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/mocking.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/metaestimators.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-s390x-2.7/sklearn/utils creating build/lib.linux-s390x-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools creating build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_utils.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_testing.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_bench.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_random.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_validation.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_stats.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_graph.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-s390x-2.7/sklearn/utils/tests creating build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/test_externals_setup.py -> build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/odict.py -> build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/__init__.py -> build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/setup.py -> build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/six.py -> build/lib.linux-s390x-2.7/sklearn/externals copying sklearn/externals/funcsigs.py -> build/lib.linux-s390x-2.7/sklearn/externals creating build/lib.linux-s390x-2.7/sklearn/externals/joblib copying sklearn/externals/joblib/__init__.py -> build/lib.linux-s390x-2.7/sklearn/externals/joblib creating build/lib.linux-s390x-2.7/sklearn/mixture copying sklearn/mixture/__init__.py -> build/lib.linux-s390x-2.7/sklearn/mixture copying sklearn/mixture/dpgmm.py -> build/lib.linux-s390x-2.7/sklearn/mixture copying sklearn/mixture/gmm.py -> build/lib.linux-s390x-2.7/sklearn/mixture creating build/lib.linux-s390x-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-s390x-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-s390x-2.7/sklearn/mixture/tests creating build/lib.linux-s390x-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/__init__.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process creating build/lib.linux-s390x-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-s390x-2.7/sklearn/gaussian_process/tests creating build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/approximate.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/classification.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/regression.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/kde.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/base.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/__init__.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/graph.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/setup.py -> build/lib.linux-s390x-2.7/sklearn/neighbors copying sklearn/neighbors/unsupervised.py -> build/lib.linux-s390x-2.7/sklearn/neighbors creating build/lib.linux-s390x-2.7/sklearn/neural_network copying sklearn/neural_network/__init__.py -> build/lib.linux-s390x-2.7/sklearn/neural_network copying sklearn/neural_network/rbm.py -> build/lib.linux-s390x-2.7/sklearn/neural_network creating build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/label.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/data.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/__init__.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/imputation.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/_weights.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-s390x-2.7/sklearn/preprocessing creating build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/isomap.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/__init__.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/locally_linear.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/setup.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/t_sne.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/mds.py -> build/lib.linux-s390x-2.7/sklearn/manifold copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-s390x-2.7/sklearn/manifold creating build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/classification.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/regression.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/pairwise.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/base.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/__init__.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/setup.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/ranking.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/scorer.py -> build/lib.linux-s390x-2.7/sklearn/metrics copying sklearn/metrics/metrics.py -> build/lib.linux-s390x-2.7/sklearn/metrics creating build/lib.linux-s390x-2.7/sklearn/semi_supervised copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-s390x-2.7/sklearn/semi_supervised copying sklearn/semi_supervised/__init__.py -> build/lib.linux-s390x-2.7/sklearn/semi_supervised creating build/lib.linux-s390x-2.7/sklearn/tree copying sklearn/tree/tree.py -> build/lib.linux-s390x-2.7/sklearn/tree copying sklearn/tree/__init__.py -> build/lib.linux-s390x-2.7/sklearn/tree copying sklearn/tree/setup.py -> build/lib.linux-s390x-2.7/sklearn/tree copying sklearn/tree/export.py -> build/lib.linux-s390x-2.7/sklearn/tree creating build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_tree.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_export.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_tree.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_export.py -> build/lib.linux-s390x-2.7/sklearn/tree/tests creating build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_common.py -> build/lib.linux-s390x-2.7/sklearn/metrics/tests creating build/lib.linux-s390x-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/setup.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster creating build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests creating build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/ridge.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/bayes.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/sag.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/perceptron.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/theil_sen.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/base.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/ransac.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/__init__.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/least_angle.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/setup.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/omp.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-s390x-2.7/sklearn/linear_model copying sklearn/linear_model/logistic.py -> build/lib.linux-s390x-2.7/sklearn/linear_model creating build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-s390x-2.7/sklearn/linear_model/tests copying sklearn/utils/testing.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/validation.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/fixes.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/__init__.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/multiclass.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/stats.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/extmath.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/graph.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/setup.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/random.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/optimize.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/sparsefuncs.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/estimator_checks.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/class_weight.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/arpack.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/linear_assignment_.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/bench.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/mocking.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/metaestimators.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-s390x-2.7/sklearn/utils copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-s390x-2.7/sklearn/utils/sparsetools creating build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_cross_validation.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_check_build.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_metaestimators.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/__init__.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_isotonic.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_calibration.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_common.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_learning_curve.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_grid_search.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_init.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_dummy.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_base.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_pipeline.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_multiclass.py -> build/lib.linux-s390x-2.7/sklearn/tests copying sklearn/tests/test_random_projection.py -> build/lib.linux-s390x-2.7/sklearn/tests running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7 creating build/temp.linux-s390x-2.7/sklearn creating build/temp.linux-s390x-2.7/sklearn/svm creating build/temp.linux-s390x-2.7/sklearn/svm/src creating build/temp.linux-s390x-2.7/sklearn/svm/src/libsvm compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' c++: sklearn/svm/src/libsvm/libsvm_template.cpp s390x-linux-gnu-gcc-ar: adding 1 object files to build/temp.linux-s390x-2.7/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/src creating build/temp.linux-s390x-2.7/sklearn/src/cblas compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dnrm2.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dger", ""); ^ In file included from sklearn/src/cblas/cblas_dger.c:32:0: sklearn/src/cblas/cblas_dger.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_srot.c In file included from sklearn/src/cblas/cblas_srot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dasum.c In file included from sklearn/src/cblas/cblas_dasum.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrot.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefcopy.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefger.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_snrm2.c In file included from sklearn/src/cblas/cblas_snrm2.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvT.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_scopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_scopy.c:36: sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function ‘ATL_srefcopy’ [-Wimplicit-function-declaration] #define ATL_scopy ATL_srefcopy ^ sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro ‘ATL_scopy’ if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_scopy.c:32:0: sklearn/src/cblas/cblas_scopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefcopy.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dscal.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrotg.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_drot.c In file included from sklearn/src/cblas/cblas_drot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefasum.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] exit(-1); ^ sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ sklearn/src/cblas/cblas_xerbla.c:52:4: note: include ‘’ or provide a declaration of ‘exit’ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrot.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_srotg.c In file included from sklearn/src/cblas/cblas_srotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_drotg.c In file included from sklearn/src/cblas/cblas_drotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemv.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefnrm2.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_ddot.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrotg.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_errprn.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dgemv", ""); ^ In file included from sklearn/src/cblas/cblas_dgemv.c:32:0: sklearn/src/cblas/cblas_dgemv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_daxpy.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dcopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_dcopy.c:36: sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function ‘ATL_drefcopy’ [-Wimplicit-function-declaration] #define ATL_dcopy ATL_drefcopy ^ sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro ‘ATL_dcopy’ if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_dcopy.c:32:0: sklearn/src/cblas/cblas_dcopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvN.c s390x-linux-gnu-gcc-ar: adding 28 object files to build/temp.linux-s390x-2.7/libcblas.a running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/__check_build compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/__check_build/_check_build.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/__check_build/_check_build.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/svm/libsvm.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-s390x-2.7 -llibsvm-skl -o build/lib.linux-s390x-2.7/sklearn/svm/libsvm.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/svm/liblinear.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/svm/src/liblinear compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/svm/src/liblinear/tron.cpp c++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2361:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/svm/liblinear.o build/temp.linux-s390x-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-s390x-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/svm/liblinear.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-s390x-2.7 -llibsvm-skl -o build/lib.linux-s390x-2.7/sklearn/svm/libsvm_sparse.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/datasets compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/datasets/_svmlight_format.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/feature_extraction compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/feature_extraction/_hashing.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/cluster/_dbscan_inner.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:255: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:255: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘int _import_array()’ defined but not used [-Wunused-function] _import_array(void) ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/cluster/_dbscan_inner.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/cluster/_hierarchical.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:314: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/cluster/_hierarchical.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/cluster/_k_means.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/cluster/_k_means.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/decomposition compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/decomposition/_online_lda.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/decomposition/_online_lda.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/decomposition/cdnmf_fast.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/decomposition/cdnmf_fast.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/ensemble compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/ensemble/_gradient_boosting.so building 'sklearn.utils.sparsetools._traversal' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/utils creating build/temp.linux-s390x-2.7/sklearn/utils/sparsetools compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_traversal.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_traversal.so building 'sklearn.utils.sparsetools._graph_tools' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_graph_tools.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_tools.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/sparsefuncs_fast.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/utils/arrayfuncs.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/utils/src compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/utils/src/MurmurHash3.cpp c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/murmurhash.o build/temp.linux-s390x-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/murmurhash.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/lgamma.c s390x-linux-gnu-gcc: sklearn/utils/src/gamma.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/lgamma.o build/temp.linux-s390x-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/lgamma.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/graph_shortest_path.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:320: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:18786:44: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long)val); ^ sklearn/utils/fast_dict.cpp:3316:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/fast_dict.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/seq_dataset.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/utils/weight_vector.so building 'sklearn.utils._random' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/_random.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/_random.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/_logistic_sigmoid.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/neighbors compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/neighbors/ball_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/neighbors/ball_tree.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/neighbors/kd_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build’: sklearn/neighbors/kd_tree.c:21026:49: warning: ‘__pyx_v_j’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j; ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/neighbors/kd_tree.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6384:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 462; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:6183:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7177:84: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7095:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7880:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 610; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7689:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:8708:86: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 680; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:8462:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/neighbors/dist_metrics.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/neighbors/typedefs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/neighbors/typedefs.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/manifold compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/manifold/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/manifold/_utils.so building 'sklearn.manifold._barnes_hut_tsne' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O4' s390x-linux-gnu-gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-s390x-2.7 -lcblas -o build/lib.linux-s390x-2.7/sklearn/manifold/_barnes_hut_tsne.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/metrics compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/metrics/pairwise_fast.so building 'sklearn.tree._tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/tree compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:11017:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 937; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/tree/_tree.c:11017:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/tree/_tree.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_splitter.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/tree/_splitter.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_criterion.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/tree/_criterion.so building 'sklearn.tree._utils' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/tree/_utils.so building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/metrics/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so building 'sklearn._isotonic' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/_isotonic.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/_isotonic.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC creating build/temp.linux-s390x-2.7/sklearn/linear_model compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/linear_model/cd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/linear_model/cd_fast.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/linear_model/sgd_fast.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/linear_model/sag_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ sklearn/linear_model/sag_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_8sag_fast_2get_max_squared_sum.isra.14’: sklearn/linear_model/sag_fast.c:4001:32: warning: ‘__pyx_v_x_data_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride); ^ sklearn/linear_model/sag_fast.c:4001:54: warning: ‘__pyx_v_stride’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride); ^ sklearn/linear_model/sag_fast.c:3618:8: warning: ‘__pyx_v_X_indptr_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] int *__pyx_v_X_indptr_ptr; ^ sklearn/linear_model/sag_fast.c:3981:32: warning: ‘__pyx_v_X_data_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_X_data_ptr + __pyx_v_offset); ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/linear_model/sag_fast.so building 'sklearn.utils.sparsetools._traversal' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_traversal.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_traversal.so building 'sklearn.utils.sparsetools._graph_tools' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_graph_tools.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_tools.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/sparsefuncs_fast.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/utils/arrayfuncs.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/utils/src/MurmurHash3.cpp c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/murmurhash.o build/temp.linux-s390x-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/murmurhash.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/lgamma.c s390x-linux-gnu-gcc: sklearn/utils/src/gamma.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/lgamma.o build/temp.linux-s390x-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/lgamma.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/graph_shortest_path.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' c++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:320: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:18786:44: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long)val); ^ sklearn/utils/fast_dict.cpp:3316:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^ c++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/fast_dict.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-s390x-2.7 -o build/lib.linux-s390x-2.7/sklearn/utils/seq_dataset.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-s390x-2.7 -lcblas -lm -o build/lib.linux-s390x-2.7/sklearn/utils/weight_vector.so building 'sklearn.utils._random' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/_random.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:242: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/_random.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' s390x-linux-gnu-gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-s390x-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-s390x-2.7 -lm -o build/lib.linux-s390x-2.7/sklearn/utils/_logistic_sigmoid.so dh_auto_test -a -O--buildsystem=python_distutils fakeroot debian/rules binary-arch Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh binary-arch --buildsystem=python_distutils --with python2,python3,autoreconf dh_testroot -a -O--buildsystem=python_distutils dh_prep -a -O--buildsystem=python_distutils debian/rules override_dh_auto_install make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! python2.7 setup.py install --install-layout=deb --root=/<>/debian/tmp dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1640: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1649: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) blas_src_info: NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1652: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. warnings.warn(BlasSrcNotFoundError.__doc__) NOT AVAILABLE sklearn/setup.py:67: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) running install running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext running install_lib creating /<>/debian/tmp creating /<>/debian/tmp/usr creating /<>/debian/tmp/usr/lib creating /<>/debian/tmp/usr/lib/python2.7 creating /<>/debian/tmp/usr/lib/python2.7/dist-packages creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/_online_lda.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/dict_learning.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/fastica_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/truncated_svd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/kernel_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/factor_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_online_lda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_fastica.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_nmf.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_incremental_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_dict_learning.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/tests/test_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-2.7/sklearn/decomposition/online_lda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/incremental_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/sparse_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/nmf.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-2.7/sklearn/decomposition/cdnmf_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/libsvm.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/bounds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-2.7/sklearn/svm/tests/test_svm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-2.7/sklearn/svm/tests/test_bounds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-2.7/sklearn/svm/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-2.7/sklearn/svm/tests/test_sparse.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-2.7/sklearn/svm/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/liblinear.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/classes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/svm/libsvm_sparse.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-s390x-2.7/sklearn/dummy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/sag.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/sgd_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/perceptron.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/theil_sen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/cd_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/ransac.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_ransac.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_logistic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_perceptron.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_sag.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_omp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_theil_sen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_least_angle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_sgd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-2.7/sklearn/linear_model/sag_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/least_angle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/randomized_l1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/stochastic_gradient.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/omp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/passive_aggressive.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-2.7/sklearn/linear_model/logistic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/externals/test_externals_setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib copying build/lib.linux-s390x-2.7/sklearn/externals/joblib/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib copying build/lib.linux-s390x-2.7/sklearn/externals/odict.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/externals/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/externals/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/externals/six.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/externals/funcsigs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-s390x-2.7/sklearn/lda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/_isotonic.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/isotonic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-2.7/sklearn/__check_build/_check_build.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-2.7/sklearn/__check_build/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-2.7/sklearn/__check_build/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-2.7/sklearn/feature_selection/from_model.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-2.7/sklearn/feature_selection/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-2.7/sklearn/feature_selection/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_rfe.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_feature_select.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_from_model.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/tests/test_chi2.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-2.7/sklearn/feature_selection/rfe.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-2.7/sklearn/feature_selection/univariate_selection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-2.7/sklearn/feature_selection/variance_threshold.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-2.7/sklearn/tree/tests/test_tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-2.7/sklearn/tree/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-2.7/sklearn/tree/tests/test_export.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-2.7/sklearn/tree/_criterion.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/_utils.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/export.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/tree/_splitter.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-s390x-2.7/sklearn/grid_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/isomap.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/locally_linear.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/t_sne.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/_utils.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/mds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/manifold/spectral_embedding_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-s390x-2.7/sklearn/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/testing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/weight_vector.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/arrayfuncs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/fixes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/lgamma.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/_logistic_sigmoid.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_traversal.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/sparsetools/_graph_tools.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-2.7/sklearn/utils/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/_random.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_estimator_checks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_seq_dataset.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_testing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_bench.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_random.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_fixes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_extmath.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_murmurhash.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_class_weight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_linear_assignment.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_optimize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_shortest_path.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_stats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/tests/test_fast_dict.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-2.7/sklearn/utils/multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/fast_dict.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/stats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/extmath.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/graph_shortest_path.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/seq_dataset.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/random.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/murmurhash.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/optimize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/sparsefuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/estimator_checks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/class_weight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/arpack.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/linear_assignment_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/bench.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/mocking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/sparsefuncs_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-s390x-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_cross_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_check_build.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_naive_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_kernel_approximation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_isotonic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_calibration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_learning_curve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_grid_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_init.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_kernel_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_dummy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_pipeline.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/tests/test_random_projection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-s390x-2.7/sklearn/multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/naive_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/pipeline.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/_build_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-s390x-2.7/sklearn/neural_network/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-s390x-2.7/sklearn/neural_network/rbm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/partial_dependence.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/bagging.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/gradient_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_forest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_voting_classifier.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_bagging.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-2.7/sklearn/ensemble/voting_classifier.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/weight_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/forest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-2.7/sklearn/ensemble/_gradient_boosting.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/approximate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/kde.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/dist_metrics.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/nearest_centroid.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/kd_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/typedefs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/neighbors/ball_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-2.7/sklearn/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/kernel_approximation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/random_projection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/cross_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/kernel_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_samples_generator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_covtype.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_lfw.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_20news.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_mldata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_rcv1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/tests/test_svmlight_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-2.7/sklearn/datasets/samples_generator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/olivetti_faces.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/svmlight_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/lfw.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/rcv1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/mlcomp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/twenty_newsgroups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/_svmlight_format.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/mldata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/california_housing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/covtype.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/datasets/species_distributions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-s390x-2.7/sklearn/learning_curve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-s390x-2.7/sklearn/calibration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/affinity_propagation_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/birch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/dbscan_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/k_means_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/_k_means.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/mean_shift_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_k_means.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_mean_shift.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_birch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_spectral.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/tests/test_dbscan.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/cluster/_feature_agglomeration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/hierarchical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/_hierarchical.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/spectral.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-s390x-2.7/sklearn/cluster/_dbscan_inner.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-2.7/sklearn/cross_decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-2.7/sklearn/cross_decomposition/pls_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-2.7/sklearn/cross_decomposition/cca_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/gaussian_process.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/correlation_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-2.7/sklearn/gaussian_process/regression_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised copying build/lib.linux-s390x-2.7/sklearn/semi_supervised/label_propagation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised copying build/lib.linux-s390x-2.7/sklearn/semi_supervised/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/label.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/imputation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/_weights.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/preprocessing/_function_transformer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-2.7/sklearn/qda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-s390x-2.7/sklearn/mixture/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-2.7/sklearn/mixture/tests/test_gmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-2.7/sklearn/mixture/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-2.7/sklearn/mixture/dpgmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-s390x-2.7/sklearn/mixture/gmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-s390x-2.7/sklearn/discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-s390x-2.7/sklearn/covariance/shrunk_covariance_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-s390x-2.7/sklearn/covariance/graph_lasso_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-s390x-2.7/sklearn/covariance/empirical_covariance_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-s390x-2.7/sklearn/covariance/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-2.7/sklearn/covariance/tests/test_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-2.7/sklearn/covariance/tests/test_graph_lasso.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-2.7/sklearn/covariance/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-2.7/sklearn/covariance/outlier_detection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-s390x-2.7/sklearn/covariance/robust_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/pairwise_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/pairwise.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_ranking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_pairwise.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_score_objects.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/tests/test_common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/ranking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-s390x-2.7/sklearn/metrics/scorer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/cluster/supervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-2.7/sklearn/metrics/metrics.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests/test_text.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/tests/test_image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/hashing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/stop_words.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/text.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-2.7/sklearn/feature_extraction/_hashing.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py to online_lda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py to nmf.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py to sag.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/odict.py to odict.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/funcsigs.py to funcsigs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/lda.py to lda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_export.py to test_export.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py to t_sne.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py to testing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py to validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/fixes.py to fixes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/_graph_validation.py to _graph_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_random.py to test_random.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py to multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/stats.py to stats.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py to extmath.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py to graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py to random.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/optimize.py to optimize.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/class_weight.py to class_weight.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/arpack.py to arpack.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/bench.py to bench.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/mocking.py to mocking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/metaestimators.py to metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_calibration.py to test_calibration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils.py to _build_utils.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/rbm.py to rbm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py to bagging.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py to forest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py to approximate.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py to classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/regression.py to regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/kde.py to kde.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/graph.py to graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/lfw.py to lfw.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/rcv1.py to rcv1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py to mldata.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/california_housing.py to california_housing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/covtype.py to covtype.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py to learning_curve.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py to birch.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py to k_means_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster.py to bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/common.py to common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/spectral.py to spectral.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_weights.py to _weights.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/qda.py to qda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py to classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/regression.py to regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py to test_common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py to ranking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py to metrics.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc running install_data creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data copying sklearn/datasets/data/diabetes_target.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/boston_house_prices.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_data.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/iris.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/digits.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_physiological.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/breast_cancer.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_exercise.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images copying sklearn/datasets/images/flower.jpg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/README.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/china.jpg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr copying sklearn/datasets/descr/digits.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/linnerud.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/breast_cancer.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/iris.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/boston_house_prices.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/diabetes.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ running install_egg_info Writing /<>/debian/tmp/usr/lib/python2.7/dist-packages/scikit_learn-0.17.1.egg-info running install_clib python3.5 setup.py install --install-layout=deb --root=/<>/debian/tmp dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! blas_opt_info: blas_mkl_info: libraries mkl,vml,guide not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/s390x-linux-gnu'] NOT AVAILABLE blas_src_info: NOT AVAILABLE NOT AVAILABLE running install running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsetools._traversal" sources building extension "sklearn.utils.sparsetools._graph_tools" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py creating build/lib.linux-s390x-3.5 creating build/lib.linux-s390x-3.5/sklearn copying sklearn/dummy.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/lda.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/isotonic.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/grid_search.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/base.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/__init__.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/multiclass.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/naive_bayes.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/pipeline.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/_build_utils.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/setup.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/kernel_approximation.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/random_projection.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/cross_validation.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/kernel_ridge.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/learning_curve.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/calibration.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/qda.py -> build/lib.linux-s390x-3.5/sklearn copying sklearn/discriminant_analysis.py -> build/lib.linux-s390x-3.5/sklearn creating build/lib.linux-s390x-3.5/sklearn/__check_build copying sklearn/__check_build/__init__.py -> build/lib.linux-s390x-3.5/sklearn/__check_build copying sklearn/__check_build/setup.py -> build/lib.linux-s390x-3.5/sklearn/__check_build creating build/lib.linux-s390x-3.5/sklearn/svm copying sklearn/svm/bounds.py -> build/lib.linux-s390x-3.5/sklearn/svm copying sklearn/svm/base.py -> build/lib.linux-s390x-3.5/sklearn/svm copying sklearn/svm/__init__.py -> build/lib.linux-s390x-3.5/sklearn/svm copying sklearn/svm/setup.py -> build/lib.linux-s390x-3.5/sklearn/svm copying sklearn/svm/classes.py -> build/lib.linux-s390x-3.5/sklearn/svm creating build/lib.linux-s390x-3.5/sklearn/svm/tests copying sklearn/svm/tests/test_svm.py -> build/lib.linux-s390x-3.5/sklearn/svm/tests copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-s390x-3.5/sklearn/svm/tests copying sklearn/svm/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/svm/tests copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-s390x-3.5/sklearn/svm/tests creating build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/base.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/__init__.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/samples_generator.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/svmlight_format.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/lfw.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/setup.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/rcv1.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/mlcomp.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/mldata.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/california_housing.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/covtype.py -> build/lib.linux-s390x-3.5/sklearn/datasets copying sklearn/datasets/species_distributions.py -> build/lib.linux-s390x-3.5/sklearn/datasets creating build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_base.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-s390x-3.5/sklearn/datasets/tests creating build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/__init__.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/image.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/setup.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/hashing.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction copying sklearn/feature_extraction/text.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction creating build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests creating build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/birch.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/dbscan_.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/k_means_.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/bicluster.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/mean_shift_.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/__init__.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/hierarchical.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/setup.py -> build/lib.linux-s390x-3.5/sklearn/cluster copying sklearn/cluster/spectral.py -> build/lib.linux-s390x-3.5/sklearn/cluster creating build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/common.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-s390x-3.5/sklearn/cluster/tests creating build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/__init__.py -> build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/outlier_detection.py -> build/lib.linux-s390x-3.5/sklearn/covariance copying sklearn/covariance/robust_covariance.py -> build/lib.linux-s390x-3.5/sklearn/covariance creating build/lib.linux-s390x-3.5/sklearn/covariance/tests copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-s390x-3.5/sklearn/covariance/tests copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-s390x-3.5/sklearn/covariance/tests copying sklearn/covariance/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/covariance/tests copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-s390x-3.5/sklearn/covariance/tests creating build/lib.linux-s390x-3.5/sklearn/cross_decomposition copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-s390x-3.5/sklearn/cross_decomposition copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-s390x-3.5/sklearn/cross_decomposition copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-s390x-3.5/sklearn/cross_decomposition creating build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/dict_learning.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/fastica_.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/base.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/__init__.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/online_lda.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/setup.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition copying sklearn/decomposition/nmf.py -> build/lib.linux-s390x-3.5/sklearn/decomposition creating build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-s390x-3.5/sklearn/decomposition/tests creating build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/bagging.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/base.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/__init__.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/setup.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-s390x-3.5/sklearn/ensemble copying sklearn/ensemble/forest.py -> build/lib.linux-s390x-3.5/sklearn/ensemble creating build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-s390x-3.5/sklearn/ensemble/tests creating build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/from_model.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/base.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/__init__.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/rfe.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection creating build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-s390x-3.5/sklearn/feature_selection/tests creating build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/testing.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/validation.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/fixes.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/__init__.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/multiclass.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/stats.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/extmath.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/graph.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/setup.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/random.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/optimize.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/sparsefuncs.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/estimator_checks.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/class_weight.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/arpack.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/linear_assignment_.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/bench.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/mocking.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/metaestimators.py -> build/lib.linux-s390x-3.5/sklearn/utils copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-s390x-3.5/sklearn/utils creating build/lib.linux-s390x-3.5/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-s390x-3.5/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-s390x-3.5/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-s390x-3.5/sklearn/utils/sparsetools creating build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_utils.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_testing.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_bench.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_random.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_validation.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_stats.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_graph.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-s390x-3.5/sklearn/utils/tests creating build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/test_externals_setup.py -> build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/odict.py -> build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/__init__.py -> build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/setup.py -> build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/six.py -> build/lib.linux-s390x-3.5/sklearn/externals copying sklearn/externals/funcsigs.py -> build/lib.linux-s390x-3.5/sklearn/externals creating build/lib.linux-s390x-3.5/sklearn/externals/joblib copying sklearn/externals/joblib/__init__.py -> build/lib.linux-s390x-3.5/sklearn/externals/joblib creating build/lib.linux-s390x-3.5/sklearn/mixture copying sklearn/mixture/__init__.py -> build/lib.linux-s390x-3.5/sklearn/mixture copying sklearn/mixture/dpgmm.py -> build/lib.linux-s390x-3.5/sklearn/mixture copying sklearn/mixture/gmm.py -> build/lib.linux-s390x-3.5/sklearn/mixture creating build/lib.linux-s390x-3.5/sklearn/mixture/tests copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-s390x-3.5/sklearn/mixture/tests copying sklearn/mixture/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/mixture/tests copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-s390x-3.5/sklearn/mixture/tests creating build/lib.linux-s390x-3.5/sklearn/gaussian_process copying sklearn/gaussian_process/__init__.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process creating build/lib.linux-s390x-3.5/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-s390x-3.5/sklearn/gaussian_process/tests creating build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/approximate.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/classification.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/regression.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/kde.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/base.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/__init__.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/graph.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/setup.py -> build/lib.linux-s390x-3.5/sklearn/neighbors copying sklearn/neighbors/unsupervised.py -> build/lib.linux-s390x-3.5/sklearn/neighbors creating build/lib.linux-s390x-3.5/sklearn/neural_network copying sklearn/neural_network/__init__.py -> build/lib.linux-s390x-3.5/sklearn/neural_network copying sklearn/neural_network/rbm.py -> build/lib.linux-s390x-3.5/sklearn/neural_network creating build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/label.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/data.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/__init__.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/imputation.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/_weights.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-s390x-3.5/sklearn/preprocessing creating build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/isomap.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/__init__.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/locally_linear.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/setup.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/t_sne.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/mds.py -> build/lib.linux-s390x-3.5/sklearn/manifold copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-s390x-3.5/sklearn/manifold creating build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/classification.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/regression.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/pairwise.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/base.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/__init__.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/setup.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/ranking.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/scorer.py -> build/lib.linux-s390x-3.5/sklearn/metrics copying sklearn/metrics/metrics.py -> build/lib.linux-s390x-3.5/sklearn/metrics creating build/lib.linux-s390x-3.5/sklearn/semi_supervised copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-s390x-3.5/sklearn/semi_supervised copying sklearn/semi_supervised/__init__.py -> build/lib.linux-s390x-3.5/sklearn/semi_supervised creating build/lib.linux-s390x-3.5/sklearn/tree copying sklearn/tree/tree.py -> build/lib.linux-s390x-3.5/sklearn/tree copying sklearn/tree/__init__.py -> build/lib.linux-s390x-3.5/sklearn/tree copying sklearn/tree/setup.py -> build/lib.linux-s390x-3.5/sklearn/tree copying sklearn/tree/export.py -> build/lib.linux-s390x-3.5/sklearn/tree creating build/lib.linux-s390x-3.5/sklearn/tree/tests copying sklearn/tree/tests/test_tree.py -> build/lib.linux-s390x-3.5/sklearn/tree/tests copying sklearn/tree/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/tree/tests copying sklearn/tree/tests/test_export.py -> build/lib.linux-s390x-3.5/sklearn/tree/tests creating build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests copying sklearn/metrics/tests/test_common.py -> build/lib.linux-s390x-3.5/sklearn/metrics/tests creating build/lib.linux-s390x-3.5/sklearn/metrics/cluster copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster copying sklearn/metrics/cluster/setup.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster creating build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests creating build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/ridge.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/bayes.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/sag.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/perceptron.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/theil_sen.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/base.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/ransac.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/__init__.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/least_angle.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/setup.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/omp.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-s390x-3.5/sklearn/linear_model copying sklearn/linear_model/logistic.py -> build/lib.linux-s390x-3.5/sklearn/linear_model creating build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-s390x-3.5/sklearn/linear_model/tests creating build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_cross_validation.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_check_build.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_metaestimators.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/__init__.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_isotonic.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_calibration.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_common.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_learning_curve.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_grid_search.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_init.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_dummy.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_base.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_pipeline.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_multiclass.py -> build/lib.linux-s390x-3.5/sklearn/tests copying sklearn/tests/test_random_projection.py -> build/lib.linux-s390x-3.5/sklearn/tests running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5 creating build/temp.linux-s390x-3.5/sklearn creating build/temp.linux-s390x-3.5/sklearn/svm creating build/temp.linux-s390x-3.5/sklearn/svm/src creating build/temp.linux-s390x-3.5/sklearn/svm/src/libsvm compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c' s390x-linux-gnu-g++: sklearn/svm/src/libsvm/libsvm_template.cpp s390x-linux-gnu-gcc-ar: adding 1 object files to build/temp.linux-s390x-3.5/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/src creating build/temp.linux-s390x-3.5/sklearn/src/cblas compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c' s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrotg.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_drotg.c In file included from sklearn/src/cblas/cblas_drotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dnrm2.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvT.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefger.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_snrm2.c In file included from sklearn/src/cblas/cblas_snrm2.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefasum.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrotg.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dcopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_dcopy.c:36: sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function ‘ATL_drefcopy’ [-Wimplicit-function-declaration] #define ATL_dcopy ATL_drefcopy ^ sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro ‘ATL_dcopy’ if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_dcopy.c:32:0: sklearn/src/cblas/cblas_dcopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrot.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_scopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_scopy.c:36: sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function ‘ATL_srefcopy’ [-Wimplicit-function-declaration] #define ATL_scopy ATL_srefcopy ^ sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro ‘ATL_scopy’ if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY); ^ In file included from sklearn/src/cblas/cblas_scopy.c:32:0: sklearn/src/cblas/cblas_scopy.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_srot.c In file included from sklearn/src/cblas/cblas_srot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefcopy.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_ddot.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_srotg.c In file included from sklearn/src/cblas/cblas_srotg.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] exit(-1); ^ sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ sklearn/src/cblas/cblas_xerbla.c:52:4: note: include ‘’ or provide a declaration of ‘exit’ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dger", ""); ^ In file included from sklearn/src/cblas/cblas_dger.c:32:0: sklearn/src/cblas/cblas_dger.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefcopy.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_daxpy.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_srefnrm2.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_drot.c In file included from sklearn/src/cblas/cblas_drot.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemv.c s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrot.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’ [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dgemv", ""); ^ In file included from sklearn/src/cblas/cblas_dgemv.c:32:0: sklearn/src/cblas/cblas_dgemv.c: At top level: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dasum.c In file included from sklearn/src/cblas/cblas_dasum.c:32:0: sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^ sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^ s390x-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvN.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_errprn.c s390x-linux-gnu-gcc: sklearn/src/cblas/cblas_dscal.c s390x-linux-gnu-gcc-ar: adding 28 object files to build/temp.linux-s390x-3.5/libcblas.a running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/__check_build compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/__check_build/_check_build.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/__check_build/_check_build.cpython-35m-s390x-linux-gnu.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/svm/libsvm.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/svm/libsvm.o -Lbuild/temp.linux-s390x-3.5 -llibsvm-skl -o build/lib.linux-s390x-3.5/sklearn/svm/libsvm.cpython-35m-s390x-linux-gnu.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/svm/liblinear.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/svm/src/liblinear compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2361:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^ s390x-linux-gnu-g++: sklearn/svm/src/liblinear/tron.cpp s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/svm/liblinear.o build/temp.linux-s390x-3.5/sklearn/svm/src/liblinear/linear.o build/temp.linux-s390x-3.5/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/svm/liblinear.cpython-35m-s390x-linux-gnu.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-s390x-3.5 -llibsvm-skl -o build/lib.linux-s390x-3.5/sklearn/svm/libsvm_sparse.cpython-35m-s390x-linux-gnu.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/datasets compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/datasets/_svmlight_format.cpython-35m-s390x-linux-gnu.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/feature_extraction compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/feature_extraction/_hashing.cpython-35m-s390x-linux-gnu.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/cluster compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-g++: sklearn/cluster/_dbscan_inner.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:255: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:255: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘int _import_array()’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-s390x-linux-gnu.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-g++: sklearn/cluster/_hierarchical.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:314: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/cluster/_hierarchical.cpython-35m-s390x-linux-gnu.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/cluster/_k_means.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/cluster/_k_means.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/cluster/_k_means.cpython-35m-s390x-linux-gnu.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/decomposition compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/decomposition/_online_lda.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/decomposition/_online_lda.cpython-35m-s390x-linux-gnu.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/decomposition/cdnmf_fast.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/ensemble compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.sparsetools._traversal' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/utils creating build/temp.linux-s390x-3.5/sklearn/utils/sparsetools compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_traversal.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_traversal.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.sparsetools._graph_tools' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/sparsetools/_graph_tools.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsetools/_graph_tools.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/utils/arrayfuncs.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/utils/src compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-g++: sklearn/utils/src/MurmurHash3.cpp s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/murmurhash.o build/temp.linux-s390x-3.5/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/utils/murmurhash.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/src/gamma.c s390x-linux-gnu-gcc: sklearn/utils/lgamma.c s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/lgamma.o build/temp.linux-s390x-3.5/sklearn/utils/src/gamma.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/utils/lgamma.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/utils/graph_shortest_path.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: s390x-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-g++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:320: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:18786:44: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long)val); ^ sklearn/utils/fast_dict.cpp:3316:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^ s390x-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/fast_dict.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/utils/fast_dict.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/utils/seq_dataset.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/weight_vector.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/utils/weight_vector.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils._random' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/_random.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/_random.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/utils/_random.cpython-35m-s390x-linux-gnu.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-s390x-linux-gnu.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/neighbors compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/neighbors/ball_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/neighbors/ball_tree.cpython-35m-s390x-linux-gnu.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/neighbors/kd_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build’: sklearn/neighbors/kd_tree.c:21026:49: warning: ‘__pyx_v_j’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j; ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/neighbors/kd_tree.cpython-35m-s390x-linux-gnu.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6384:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 462; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:6183:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7177:84: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7095:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7880:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 610; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:7689:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:8708:86: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) {__pyx_filename = __pyx_f[1]; __pyx_lineno = 680; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/neighbors/dist_metrics.c:8462:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/neighbors/dist_metrics.cpython-35m-s390x-linux-gnu.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/neighbors/typedefs.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/neighbors/typedefs.cpython-35m-s390x-linux-gnu.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/manifold compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/manifold/_utils.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/manifold/_utils.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/manifold/_utils.cpython-35m-s390x-linux-gnu.so building 'sklearn.manifold._barnes_hut_tsne' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O4' s390x-linux-gnu-gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-s390x-3.5 -lcblas -o build/lib.linux-s390x-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-s390x-linux-gnu.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/metrics compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/metrics/pairwise_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn.tree._tree' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/tree compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:11017:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752u)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) {__pyx_filename = __pyx_f[0]; __pyx_lineno = 937; __pyx_clineno = __LINE__; goto __pyx_L1_error;} ^ sklearn/tree/_tree.c:11017:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/tree/_tree.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/tree/_tree.cpython-35m-s390x-linux-gnu.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_splitter.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/tree/_splitter.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/tree/_splitter.cpython-35m-s390x-linux-gnu.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_criterion.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/tree/_criterion.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/tree/_criterion.cpython-35m-s390x-linux-gnu.so building 'sklearn.tree._utils' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' extra options: '-O3' s390x-linux-gnu-gcc: sklearn/tree/_utils.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/tree/_utils.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/tree/_utils.cpython-35m-s390x-linux-gnu.so building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/metrics/cluster compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn._isotonic' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/_isotonic.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/_isotonic.o -Lbuild/temp.linux-s390x-3.5 -lm -o build/lib.linux-s390x-3.5/sklearn/_isotonic.cpython-35m-s390x-linux-gnu.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-s390x-3.5/sklearn/linear_model compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/linear_model/cd_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/linear_model/cd_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:243: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-s390x-3.5 -lcblas -lm -o build/lib.linux-s390x-3.5/sklearn/linear_model/sgd_fast.cpython-35m-s390x-linux-gnu.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: s390x-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c' s390x-linux-gnu-gcc: sklearn/linear_model/sag_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^ In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:242: /usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: ‘_import_array’ defined but not used [-Wunused-function] _import_array(void) ^ sklearn/linear_model/sag_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_8sag_fast_2get_max_squared_sum.isra.11’: sklearn/linear_model/sag_fast.c:4001:32: warning: ‘__pyx_v_x_data_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride); ^ sklearn/linear_model/sag_fast.c:4001:54: warning: ‘__pyx_v_stride’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride); ^ sklearn/linear_model/sag_fast.c:3618:8: warning: ‘__pyx_v_X_indptr_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] int *__pyx_v_X_indptr_ptr; ^ sklearn/linear_model/sag_fast.c:3981:32: warning: ‘__pyx_v_X_data_ptr’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_v_x_data_ptr = (__pyx_v_X_data_ptr + __pyx_v_offset); ^ s390x-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-s390x-3.5/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-s390x-3.5 -o build/lib.linux-s390x-3.5/sklearn/linear_model/sag_fast.cpython-35m-s390x-linux-gnu.so running install_lib creating /<>/debian/tmp/usr/lib/python3 creating /<>/debian/tmp/usr/lib/python3/dist-packages creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/_online_lda.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/dict_learning.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/fastica_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/truncated_svd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/kernel_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/factor_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_kernel_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_online_lda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_truncated_svd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_fastica.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_nmf.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_incremental_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_sparse_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_dict_learning.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_factor_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/tests/test_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-s390x-3.5/sklearn/decomposition/online_lda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/incremental_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/sparse_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/nmf.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-s390x-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/bounds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-3.5/sklearn/svm/tests/test_svm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-3.5/sklearn/svm/tests/test_bounds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-3.5/sklearn/svm/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-3.5/sklearn/svm/tests/test_sparse.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-s390x-3.5/sklearn/svm/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/classes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/libsvm.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/libsvm_sparse.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/svm/liblinear.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-s390x-3.5/sklearn/dummy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/sgd_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/sag.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/perceptron.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/theil_sen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/ransac.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_ransac.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_logistic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_perceptron.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_sag.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_omp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_theil_sen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_least_angle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_passive_aggressive.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_sgd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_randomized_l1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-s390x-3.5/sklearn/linear_model/least_angle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/randomized_l1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/stochastic_gradient.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/omp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/passive_aggressive.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/logistic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/sag_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-s390x-3.5/sklearn/linear_model/cd_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/externals/test_externals_setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib copying build/lib.linux-s390x-3.5/sklearn/externals/joblib/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib copying build/lib.linux-s390x-3.5/sklearn/externals/odict.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/externals/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/externals/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/externals/six.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/externals/funcsigs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-s390x-3.5/sklearn/lda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/isotonic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-3.5/sklearn/__check_build/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-3.5/sklearn/__check_build/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-s390x-3.5/sklearn/__check_build/_check_build.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-3.5/sklearn/feature_selection/from_model.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-3.5/sklearn/feature_selection/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-3.5/sklearn/feature_selection/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_rfe.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_variance_threshold.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_feature_select.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_from_model.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/tests/test_chi2.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-s390x-3.5/sklearn/feature_selection/rfe.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-3.5/sklearn/feature_selection/univariate_selection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-s390x-3.5/sklearn/feature_selection/variance_threshold.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/_criterion.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-3.5/sklearn/tree/tests/test_tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-3.5/sklearn/tree/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-3.5/sklearn/tree/tests/test_export.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-s390x-3.5/sklearn/tree/_splitter.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/_tree.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/_utils.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/tree/export.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-s390x-3.5/sklearn/grid_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/isomap.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/locally_linear.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/t_sne.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/_utils.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/mds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/manifold/spectral_embedding_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-s390x-3.5/sklearn/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/lgamma.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/testing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/arrayfuncs.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/fixes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/graph_shortest_path.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/_graph_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-s390x-3.5/sklearn/utils/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_estimator_checks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_seq_dataset.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_testing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_bench.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_random.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_fixes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_extmath.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_murmurhash.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_class_weight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_linear_assignment.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_sparsefuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_optimize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_shortest_path.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_stats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/tests/test_fast_dict.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-s390x-3.5/sklearn/utils/multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/stats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/extmath.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/random.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/weight_vector.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/optimize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/sparsefuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/estimator_checks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/class_weight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/arpack.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/fast_dict.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/linear_assignment_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/bench.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/_random.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/mocking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/seq_dataset.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/murmurhash.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-s390x-3.5/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_cross_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_check_build.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_naive_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_kernel_approximation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_isotonic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_calibration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_learning_curve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_grid_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_init.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_kernel_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_dummy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_pipeline.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/tests/test_random_projection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-s390x-3.5/sklearn/multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/naive_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/pipeline.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/_isotonic.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/_build_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-s390x-3.5/sklearn/neural_network/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-s390x-3.5/sklearn/neural_network/rbm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/partial_dependence.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/bagging.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/gradient_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_gradient_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_forest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_voting_classifier.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_weight_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_bagging.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_partial_dependence.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-s390x-3.5/sklearn/ensemble/voting_classifier.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/weight_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/forest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-s390x-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/dist_metrics.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/approximate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/kd_tree.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/kde.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/nearest_centroid.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/typedefs.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/neighbors/ball_tree.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-s390x-3.5/sklearn/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/kernel_approximation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/random_projection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/cross_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/kernel_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_samples_generator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_covtype.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_lfw.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_20news.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_mldata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_rcv1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/tests/test_svmlight_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-s390x-3.5/sklearn/datasets/samples_generator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/olivetti_faces.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/svmlight_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/lfw.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/_svmlight_format.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/rcv1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/mlcomp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/twenty_newsgroups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/mldata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/california_housing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/covtype.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/datasets/species_distributions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-s390x-3.5/sklearn/learning_curve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-s390x-3.5/sklearn/calibration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/affinity_propagation_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/birch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/dbscan_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/k_means_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/mean_shift_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/_k_means.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_hierarchical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_k_means.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_mean_shift.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_birch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_spectral.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_affinity_propagation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/tests/test_dbscan.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/cluster/_feature_agglomeration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/hierarchical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/_hierarchical.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-s390x-3.5/sklearn/cluster/spectral.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-3.5/sklearn/cross_decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-3.5/sklearn/cross_decomposition/pls_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-s390x-3.5/sklearn/cross_decomposition/cca_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/gaussian_process.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/correlation_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-s390x-3.5/sklearn/gaussian_process/regression_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised copying build/lib.linux-s390x-3.5/sklearn/semi_supervised/label_propagation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised copying build/lib.linux-s390x-3.5/sklearn/semi_supervised/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/label.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/imputation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/_weights.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/preprocessing/_function_transformer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-s390x-3.5/sklearn/qda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-s390x-3.5/sklearn/mixture/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-3.5/sklearn/mixture/tests/test_gmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-3.5/sklearn/mixture/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-3.5/sklearn/mixture/tests/test_dpgmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-s390x-3.5/sklearn/mixture/dpgmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-s390x-3.5/sklearn/mixture/gmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-s390x-3.5/sklearn/discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-s390x-3.5/sklearn/covariance/shrunk_covariance_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-s390x-3.5/sklearn/covariance/graph_lasso_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-s390x-3.5/sklearn/covariance/empirical_covariance_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-s390x-3.5/sklearn/covariance/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-3.5/sklearn/covariance/tests/test_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-3.5/sklearn/covariance/tests/test_graph_lasso.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-3.5/sklearn/covariance/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-3.5/sklearn/covariance/tests/test_robust_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-s390x-3.5/sklearn/covariance/outlier_detection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-s390x-3.5/sklearn/covariance/robust_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/pairwise.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/pairwise_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_ranking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_pairwise.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_score_objects.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/tests/test_common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/ranking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-s390x-3.5/sklearn/metrics/scorer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/tests/test_supervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/cluster/supervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-s390x-3.5/sklearn/metrics/metrics.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/_hashing.cpython-35m-s390x-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests/test_text.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/tests/test_image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/hashing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/stop_words.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-s390x-3.5/sklearn/feature_extraction/text.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/odict.py to odict.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/lda.py to lda.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py to _graph_validation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils.py to _build_utils.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_weights.py to _weights.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/qda.py to qda.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/metrics.py to metrics.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-35.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-35.pyc running install_data creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data copying sklearn/datasets/data/linnerud_physiological.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_target.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/iris.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/boston_house_prices.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_data.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/digits.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/breast_cancer.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_exercise.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr copying sklearn/datasets/descr/diabetes.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/digits.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/breast_cancer.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/iris.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/linnerud.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/boston_house_prices.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images copying sklearn/datasets/images/china.jpg -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/README.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/flower.jpg -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ running install_egg_info Writing /<>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.17.1.egg-info running install_clib Partial import of sklearn during the build process. /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1640: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1649: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1652: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. warnings.warn(BlasSrcNotFoundError.__doc__) sklearn/setup.py:67: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) : # Run unittests here against installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "2.7" | grep -q '^3' && PY=3 || PY=2.7; \ export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \ export MPLCONFIGDIR=/<>/build HOME=/<>/build; \ export JOBLIB_MULTIPROCESSING=0; \ cd build/; python2.7 /usr/bin/nosetests -s -v sklearn && \ { python2.7 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/lda.py:4: DeprecationWarning: lda.LDA has been moved to discriminant_analysis.LinearDiscriminantAnalysis in 0.17 and will be removed in 0.19 "in 0.17 and will be removed in 0.19", DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/qda.py:4: DeprecationWarning: qda.QDA has been moved to discriminant_analysis.QuadraticDiscriminantAnalysis in 0.17 and will be removed in 0.19. "in 0.17 and will be removed in 0.19.", DeprecationWarning) sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed. sklearn.cluster.tests.test_bicluster.test_errors ... ok sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok sklearn.cluster.tests.test_birch.test_partial_fit ... ok sklearn.cluster.tests.test_birch.test_birch_predict ... ok sklearn.cluster.tests.test_birch.test_n_clusters ... ok sklearn.cluster.tests.test_birch.test_sparse_X ... ok sklearn.cluster.tests.test_birch.test_branching_factor ... ok sklearn.cluster.tests.test_birch.test_threshold ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok sklearn.cluster.tests.test_dbscan.test_input_validation ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok sklearn.cluster.tests.test_dbscan.test_pickle ... ok sklearn.cluster.tests.test_dbscan.test_boundaries ... ok sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok sklearn.cluster.tests.test_hierarchical.test_n_components ... ok sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) ok sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:630: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 549 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 549 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok sklearn.cluster.tests.test_k_means.test_predict ... ok sklearn.cluster.tests.test_k_means.test_score ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_input_dtypes ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_transform ... ok sklearn.cluster.tests.test_k_means.test_fit_transform ... ok sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok sklearn.cluster.tests.test_k_means.test_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_function ... ok Test that x_squared_norms can be None in _init_centroids ... ok sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4 sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok sklearn.cluster.tests.test_mean_shift.test_parallel ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok sklearn.cluster.tests.test_spectral.test_affinities ... ok sklearn.cluster.tests.test_spectral.test_discretize ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 2 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 3 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 4 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 6 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 7 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) ok sklearn.covariance.tests.test_covariance.test_covariance ... ok sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok sklearn.covariance.tests.test_covariance.test_oas ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Test too slow. sklearn.datasets.tests.test_base.test_data_home ... ok sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok sklearn.datasets.tests.test_base.test_default_load_files ... ok sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok sklearn.datasets.tests.test_base.test_load_sample_images ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:122: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_digits ... ok sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok sklearn.datasets.tests.test_base.test_load_sample_image ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:143: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:159: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_diabetes ... ok sklearn.datasets.tests.test_base.test_load_linnerud ... ok sklearn.datasets.tests.test_base.test_load_iris ... ok sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok sklearn.datasets.tests.test_base.test_load_boston ... ok sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded. SKIP: PIL not installed. sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok Test that fetch_mldata is able to download and cache a data set. ... ok sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test. sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok Test the construction of informative features in make_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_dump ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:466: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations ConvergenceWarning) ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok sklearn.decomposition.tests.test_fastica.test_gs ... ok sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok sklearn.decomposition.tests.test_nmf.test_nls_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nls_close ... ok sklearn.decomposition.tests.test_nmf.test_safe_compute_error ... ok sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok sklearn.decomposition.tests.test_nmf.test_projgrad_nmf_sparseness ... ok sklearn.decomposition.tests.test_nmf.test_sparse_input ... ok sklearn.decomposition.tests.test_nmf.test_sparse_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok Test LDA on empty document (all-zero rows). ... ok Test Cython version of Dirichlet expectation calculation. ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:332: RuntimeWarning: underflow encountered in exp assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))), /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2436: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) ok sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok sklearn.decomposition.tests.test_pca.test_pca ... ok sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok sklearn.decomposition.tests.test_pca.test_whitening ... ok sklearn.decomposition.tests.test_pca.test_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_validation ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_dim ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_score ... ok sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform. sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok sklearn.ensemble.tests.test_bagging.test_classification ... ok sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.ensemble.tests.test_bagging.test_regression ... ok sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok sklearn.ensemble.tests.test_bagging.test_probability ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok sklearn.ensemble.tests.test_bagging.test_error ... ok sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok sklearn.ensemble.tests.test_bagging.test_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok sklearn.ensemble.tests.test_base.test_base ... ok sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok sklearn.ensemble.tests.test_forest.test_1d_input ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok sklearn.ensemble.tests.test_forest.test_random_hasher ... ok sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok sklearn.ensemble.tests.test_forest.test_parallel_train ... ok sklearn.ensemble.tests.test_forest.test_distribution ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_importances ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... /usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment. warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.') ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok Check classification by majority label on dataset iris. ... ok Check voting classifier selects smaller class label in tie situation. ... ok Check classification by average probabilities on dataset iris. ... ok Manually check predicted class labels for toy dataset. ... ok Calculate predicted probabilities on toy dataset. ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Check if error is raised for multilabel classification. ... ok Check GridSearch support. ... ok sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok sklearn.ensemble.tests.test_weight_boosting.test_error ... ok sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok AdaBoostRegressor should work without sample_weights in the base estimator ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok sklearn.feature_extraction.tests.test_image.test_width_patch ... ok sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_feature_names ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok sklearn.feature_selection.tests.test_base.test_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_get_support ... ok sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok sklearn.feature_selection.tests.test_feature_select.test_nans ... ok sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok sklearn.feature_selection.tests.test_from_model.test_transform_linear_model ... ok sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok Test that SelectFromModel fits on a clone of the estimator. ... ok sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok sklearn.feature_selection.tests.test_from_model.test_warm_start ... ok Test all possible combinations of the prefit parameter. ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok Test that the threshold can be set without refitting the model. ... ok sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_deprecation_estimator_params ... ok sklearn.feature_selection.tests.test_rfe.test_rfe ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py:97: RuntimeWarning: underflow encountered in exp return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1)) ok sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1033: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.linear_model.tests.test_base.test_linear_regression ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_base.test_fit_intercept ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_center_data ... ok sklearn.linear_model.tests.test_base.test_center_data_multioutput ... ok sklearn.linear_model.tests.test_base.test_center_data_weighted ... ok sklearn.linear_model.tests.test_base.test_sparse_center_data ... ok sklearn.linear_model.tests.test_base.test_csr_sparse_center_data ... ok sklearn.linear_model.tests.test_base.test_rescale_data ... ok sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok sklearn.linear_model.tests.test_coordinate_descent.test_deprection_precompute_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... ok sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok sklearn.linear_model.tests.test_least_angle.test_simple ... ok sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... ok sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok sklearn.linear_model.tests.test_least_angle.test_no_path ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok sklearn.linear_model.tests.test_least_angle.test_no_warning_for_zero_mse ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok sklearn.linear_model.tests.test_logistic.test_error ... ok sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok sklearn.linear_model.tests.test_logistic.test_sparsify ... ok sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok sklearn.linear_model.tests.test_logistic.test_nan ... ok sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok sklearn.linear_model.tests.test_logistic.test_max_iter ... ok sklearn.linear_model.tests.test_logistic.test_warm_start ... ok sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_with_classweight_auto ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... I: Seeding RNGs with 471051227 Converged after 58 iterations. --- [LibLinear]iter 1 act 9.266e+00 pre 8.148e+00 delta 1.024e+00 f 1.386e+01 |g| 2.015e+01 CG 2 iter 2 act 1.450e+00 pre 1.220e+00 delta 1.024e+00 f 4.597e+00 |g| 5.064e+00 CG 3 ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_n_iter ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_omp.test_tol ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:391: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:380: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_bad_input ... ok sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok sklearn.linear_model.tests.test_omp.test_estimator ... ok sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok sklearn.linear_model.tests.test_omp.test_no_atoms ... ok sklearn.linear_model.tests.test_omp.test_omp_path ... ok sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok sklearn.linear_model.tests.test_omp.test_omp_cv ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:391: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok sklearn.linear_model.tests.test_ridge.test_ridge ... ok sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse ... ok sklearn.linear_model.tests.test_ridge.test_n_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_class_weights ... ok Check class_weights resemble sample_weights behavior. ... ok sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... ok tests binary classifier with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok tests if classifier results match target ... ok sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok tests multiclass with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok tests if the binary classifier is computed correctly ... ok tests if the multiclass classifier is computed correctly ... ok tests if the sag pobj matches log reg ... ok tests if the sag pobj matches ridge reg ... ok tests if the sag regressor performs well ... ok tests if the sag regressor is computed correctly ... ok sklearn.linear_model.tests.test_sag.test_get_max_squared_sum ... ok tests if ValueError is thrown with only one class ... ok sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:826: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:826: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok Different number of biclusters in A and B ... ok sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 89 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 89 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) ok sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: This function is deprecated. Please call randint(0, 10 + 1) instead labels_a, labels_b = random_state.random_integers(0, 10, i),\ /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: This function is deprecated. Please call randint(0, 10 + 1) instead random_state.random_integers(0, 10, i) ok sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_no_nan ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass_pos_label_none ... ok sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok sklearn.metrics.tests.test_classification.test_prf_warnings ... ok sklearn.metrics.tests.test_classification.test_recall_warnings ... ok sklearn.metrics.tests.test_classification.test_precision_warnings ... ok sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok sklearn.metrics.tests.test_classification.test_prf_average_compat ... ok sklearn.metrics.tests.test_classification.test__check_targets ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok sklearn.metrics.tests.test_classification.test_log_loss ... ok sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok sklearn.metrics.tests.test_common.test_symmetry ... ok sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multiclasss_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('precision_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('recall_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f1_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f2_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f0.5_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('precision_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('recall_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f1_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f2_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('precision_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('recall_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f1_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f2_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f0.5_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('roc_auc_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_roc_auc', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_roc_auc', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_roc_auc', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_roc_auc', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('coverage_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('label_ranking_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_no_averaging_labels ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'euclidean', {}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'polynomial', {'degree': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'gamma': 0.1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok sklearn.metrics.tests.test_ranking.test_roc_curve ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok sklearn.metrics.tests.test_ranking.test_roc_nonrepeating_thresholds ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py:538: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless UndefinedMetricWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py:530: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless UndefinedMetricWarning) ok sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok sklearn.metrics.tests.test_ranking.test_auc ... ok sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok sklearn.metrics.tests.test_ranking.test_auc_errors ... ok sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_coverage_error ... ok sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok sklearn.metrics.tests.test_regression.test_regression_metrics ... ok sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok sklearn.metrics.tests.test_score_objects.test_unsupervised_scorers ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:40: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:333: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... ok sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok sklearn.mixture.tests.test_gmm.test_multiple_init ... ok sklearn.mixture.tests.test_gmm.test_n_parameters ... ok sklearn.mixture.tests.test_gmm.test_1d_1component ... ok test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok sklearn.mixture.tests.test_gmm.test_aic ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok Test l1_min_c loss='log' dense multi-class no-intercept ... ok Test l1_min_c loss='log' dense multi-class fit-intercept ... ok Test l1_min_c loss='log' dense two-classes no-intercept ... ok Test l1_min_c loss='log' dense two-classes fit-intercept ... ok Test l1_min_c loss='log' sparse multi-class no-intercept ... ok Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok Test l1_min_c loss='log' sparse two-classes no-intercept ... ok Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok sklearn.svm.tests.test_bounds.test_l2_deprecation ... ok sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok Check that sparse SVC gives the same result as SVC ... ok sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok sklearn.svm.tests.test_sparse.test_svc_iris ... ok sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok sklearn.svm.tests.test_sparse.test_error ... ok sklearn.svm.tests.test_sparse.test_linearsvc ... ok sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok sklearn.svm.tests.test_sparse.test_weight ... ok sklearn.svm.tests.test_sparse.test_sample_weights ... ok sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_sparse.test_timeout ... ok sklearn.svm.tests.test_sparse.test_consistent_proba ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py:224: ConvergenceWarning: Solver terminated early (max_iter=1). Consider pre-processing your data with StandardScaler or MinMaxScaler. % self.max_iter, ConvergenceWarning) ok sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok sklearn.svm.tests.test_svm.test_libsvm_iris ... ok sklearn.svm.tests.test_svm.test_precomputed ... ok sklearn.svm.tests.test_svm.test_svr ... ok sklearn.svm.tests.test_svm.test_linearsvr ... ok sklearn.svm.tests.test_svm.test_svr_errors ... ok sklearn.svm.tests.test_svm.test_oneclass ... ok sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok sklearn.svm.tests.test_svm.test_tweak_params ... ok sklearn.svm.tests.test_svm.test_probability ... ok sklearn.svm.tests.test_svm.test_decision_function ... ok sklearn.svm.tests.test_svm.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_single_sample_1d ... ok sklearn.svm.tests.test_svm.test_decision_function_shape ... ok sklearn.svm.tests.test_svm.test_svr_predict ... ok sklearn.svm.tests.test_svm.test_weight ... ok sklearn.svm.tests.test_svm.test_sample_weights ... ok sklearn.svm.tests.test_svm.test_auto_weight ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) ok sklearn.svm.tests.test_svm.test_bad_input ... ok sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penalty ... ok sklearn.svm.tests.test_svm.test_linearsvc ... ok sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok sklearn.svm.tests.test_svm.test_timeout ... ok sklearn.svm.tests.test_svm.test_unfitted ... ok sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ... [LibLinear] optimization finished, #iter = 2 WARNING: reaching max number of iterations Using -s 2 may be faster (also see FAQ) Objective value = -0.221693 nSV = 2 ok sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok sklearn.tree.tests.test_export.test_graphviz_toy ... ok sklearn.tree.tests.test_export.test_graphviz_errors ... ok sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok sklearn.tree.tests.test_tree.test_classification_toy ... ok sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok sklearn.tree.tests.test_tree.test_regression_toy ... ok sklearn.tree.tests.test_tree.test_xor ... ok sklearn.tree.tests.test_tree.test_iris ... ok sklearn.tree.tests.test_tree.test_boston ... ok sklearn.tree.tests.test_tree.test_probability ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_arrayrepr ... ok sklearn.tree.tests.test_tree.test_1d_input ... ok sklearn.tree.tests.test_tree.test_pure_set ... ok sklearn.tree.tests.test_tree.test_numerical_stability ... ok sklearn.tree.tests.test_tree.test_importances ... ok sklearn.tree.tests.test_tree.test_importances_raises ... ok sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok sklearn.tree.tests.test_tree.test_max_features ... ok sklearn.tree.tests.test_tree.test_error ... ok sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_pickle ... ok sklearn.tree.tests.test_tree.test_multioutput ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_classes_shape ... ok sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok sklearn.tree.tests.test_tree.test_memory_layout ... ok sklearn.tree.tests.test_tree.test_sample_weight ... ok sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok sklearn.tree.tests.test_tree.test_arrays_persist ... ok sklearn.tree.tests.test_tree.test_only_constant_features ... ok sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok sklearn.tree.tests.test_tree.test_big_input ... ok sklearn.tree.tests.test_tree.test_realloc ... ok sklearn.tree.tests.test_tree.test_huge_allocations ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.utils.tests.test_bench.test_total_seconds ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_negative ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_unordered ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimator ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok sklearn.utils.tests.test_extmath.test_density ... ok sklearn.utils.tests.test_extmath.test_uniform_weights ... ok sklearn.utils.tests.test_extmath.test_random_weights ... ok sklearn.utils.tests.test_extmath.test_logsumexp ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank ... ok sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok sklearn.utils.tests.test_extmath.test_row_norms ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok sklearn.utils.tests.test_extmath.test_svd_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok sklearn.utils.tests.test_extmath.test_cartesian ... ok sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok sklearn.utils.tests.test_extmath.test_fast_dot ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok sklearn.utils.tests.test_extmath.test_softmax ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok sklearn.utils.tests.test_fixes.test_expit ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:23: RuntimeWarning: underflow encountered in exp assert_almost_equal(expit(1000.), 1. / (1. + np.exp(-1000.)), decimal=16) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:24: RuntimeWarning: underflow encountered in exp assert_almost_equal(expit(-1000.), np.exp(-1000.) / (1. + np.exp(-1000.)), ok sklearn.utils.tests.test_fixes.test_divide ... ok sklearn.utils.tests.test_fixes.test_astype_copy_memory ... ok sklearn.utils.tests.test_graph.test_graph_laplacian ... ok sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok sklearn.utils.tests.test_multiclass.test_unique_labels ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok sklearn.utils.tests.test_multiclass.test_type_of_target ... ok sklearn.utils.tests.test_multiclass.test_class_distribution ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok sklearn.utils.tests.test_optimize.test_newton_cg ... ok sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok sklearn.utils.tests.test_random.test_random_choice_csc ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py:280: RuntimeWarning: invalid value encountered in true_divide np.sum(class_probability_nz)) ok sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py:95: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for i in range(n_samples)] ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok sklearn.utils.tests.test_stats.test_cases([100], 'max', [1.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... ok test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok sklearn.utils.tests.test_testing.test_assert_less ... ok sklearn.utils.tests.test_testing.test_assert_greater ... ok sklearn.utils.tests.test_testing.test_assert_less_equal ... ok sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok sklearn.utils.tests.test_testing.test_set_random_state ... ok sklearn.utils.tests.test_testing.test_assert_raise_message ... ok sklearn.utils.tests.test_utils.test_make_rng ... ok sklearn.utils.tests.test_utils.test_resample_noarg ... ok sklearn.utils.tests.test_utils.test_deprecated ... ok sklearn.utils.tests.test_utils.test_resample_value_errors ... ok sklearn.utils.tests.test_utils.test_safe_mask ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok sklearn.utils.tests.test_utils.test_column_or_1d ... ok sklearn.utils.tests.test_utils.test_safe_indexing ... ok sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok sklearn.utils.tests.test_utils.test_gen_even_slices ... ok sklearn.utils.tests.test_validation.test_as_float_array ... ok sklearn.utils.tests.test_validation.test_np_matrix ... ok sklearn.utils.tests.test_validation.test_memmap ... ok sklearn.utils.tests.test_validation.test_ordering ... ok sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok sklearn.utils.tests.test_validation.test_check_array ... ok sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok sklearn.utils.tests.test_validation.test_check_symmetric ... ok sklearn.utils.tests.test_validation.test_check_is_fitted ... ok sklearn.utils.tests.test_validation.test_check_consistent_length ... ok sklearn.tests.test_base.test_clone ... ok sklearn.tests.test_base.test_clone_2 ... ok sklearn.tests.test_base.test_clone_buggy ... ok sklearn.tests.test_base.test_clone_empty_array ... ok sklearn.tests.test_base.test_clone_nan ... ok sklearn.tests.test_base.test_repr ... ok sklearn.tests.test_base.test_str ... ok sklearn.tests.test_base.test_get_params ... ok sklearn.tests.test_base.test_get_params_deprecated ... ok sklearn.tests.test_base.test_is_classifier ... ok sklearn.tests.test_base.test_set_params ... ok sklearn.tests.test_base.test_score_sample_weight ... ok sklearn.tests.test_calibration.test_sample_weight_warning ... ok Test calibration for multiclass ... ok Test calibration for prefitted classifiers ... ok Test calibration values with Platt sigmoid model ... ok Check calibration_curve function ... ok Test that calibration can accept nan ... ok Test calibration objects with isotonic and sigmoid ... ok sklearn.tests.test_check_build.test_raise_build_error ... ok sklearn.tests.test_common.test_all_estimator_no_base_class ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:4: DeprecationWarning: sklearn.metrics.metrics is deprecated and will be removed in 0.18. Please import from sklearn.metrics DeprecationWarning) ok sklearn.tests.test_common.test_all_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_all_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_all_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_all_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('BaseEnsemble', ) ... ok sklearn.tests.test_common.test_all_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_all_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_all_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_all_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_all_estimators('Birch', ) ... ok sklearn.tests.test_common.test_all_estimators('CCA', ) ... ok sklearn.tests.test_common.test_all_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_all_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_all_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_all_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_all_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_all_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_all_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_all_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_all_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_all_estimators('GMM', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_all_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_all_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_all_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_all_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_all_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_all_estimators('LDA', ) ... ok sklearn.tests.test_common.test_all_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_all_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_all_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_all_estimators('Lars', ) ... ok sklearn.tests.test_common.test_all_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_all_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_all_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_all_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_all_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_all_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MDS', ) ... ok sklearn.tests.test_common.test_all_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_all_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_all_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_all_estimators('NMF', ) ... ok sklearn.tests.test_common.test_all_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_all_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_all_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_all_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_all_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_all_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_all_estimators('OAS', ) ... ok sklearn.tests.test_common.test_all_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_all_estimators('OneVsOneClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('OneVsRestClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_all_estimators('OutputCodeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('PCA', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_all_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_all_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_all_estimators('QDA', ) ... ok sklearn.tests.test_common.test_all_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_all_estimators('RFE', ) ... ok sklearn.tests.test_common.test_all_estimators('RFECV', ) ... ok sklearn.tests.test_common.test_all_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_all_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('SVC', ) ... ok sklearn.tests.test_common.test_all_estimators('SVR', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_all_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_all_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_all_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_all_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralBiclustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralCoclustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_all_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_all_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_all_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_all_estimators('_BaseRidgeCV', ) ... ok sklearn.tests.test_common.test_all_estimators('_ConstantPredictor', ) ... ok sklearn.tests.test_common.test_all_estimators('_RidgeGCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py:344: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 30 but corresponding boolean dimension is 3 missing = np.arange(X.shape[not self.axis])[invalid_mask] ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:349: RuntimeWarning: underflow encountered in divide affinity_matrix /= normalizer[:, np.newaxis] ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide lap /= w ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by MinMaxScaler. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_configure ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LinearSVC', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegression', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegressionCV', ) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. % (min_labels, self.n_folds)), Warning) ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('Perceptron', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('SGDClassifier', ) ... ok sklearn.tests.test_common.test_root_import_all_completeness ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNet', ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNetCV', ElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LarsCV', LarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('Lasso', Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoCV', LassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLars', LassoLars(alpha=0.0, copy_X=True, eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsCV', LassoLarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsIC', LassoLarsIC(copy_X=True, criterion='aic', eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LinearSVR', LinearSVR(C=1.0, dual=True, epsilon=0.0, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNet', MultiTaskElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNetCV', MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLasso', MultiTaskLasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLassoCV', MultiTaskLassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('OrthogonalMatchingPursuitCV', OrthogonalMatchingPursuitCV(copy=True, cv=None, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('TheilSenRegressor', TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelPropagation', LabelPropagation(alpha=1, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:349: RuntimeWarning: underflow encountered in divide affinity_matrix /= normalizer[:, np.newaxis] ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelSpreading', LabelSpreading(alpha=0.2, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide lap /= w /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:176: RuntimeWarning: underflow encountered in divide lap /= w[:, np.newaxis] ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('AffinityPropagation', AffinityPropagation(affinity='euclidean', convergence_iter=15, copy=True, ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py:106: RuntimeWarning: underflow encountered in multiply random_state.randn(n_samples, n_samples)) ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 149 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 149 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_transformer_n_iter('CCA', CCA(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok sklearn.tests.test_common.test_transformer_n_iter('DictionaryLearning', DictionaryLearning(alpha=1, code_init=None, dict_init=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('FactorAnalysis', FactorAnalysis(copy=True, iterated_power=3, max_iter=1000, n_components=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('FastICA', FastICA(algorithm='parallel', fun='logcosh', fun_args=None, max_iter=200, ... ok sklearn.tests.test_common.test_transformer_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok sklearn.tests.test_common.test_transformer_n_iter('LatentDirichletAllocation', LatentDirichletAllocation(batch_size=128, doc_topic_prior=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('LinearSVC', LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True, ... ok sklearn.tests.test_common.test_transformer_n_iter('LogisticRegression', LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, ... ok sklearn.tests.test_common.test_transformer_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_transformer_n_iter('NMF', NMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, max_iter=200, ... ok sklearn.tests.test_common.test_transformer_n_iter('PLSCanonical', PLSCanonical(algorithm='nipals', copy=True, max_iter=500, n_components=2, ... ok sklearn.tests.test_common.test_transformer_n_iter('PLSRegression', PLSRegression(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok sklearn.tests.test_common.test_transformer_n_iter('ProjectedGradientNMF', ProjectedGradientNMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, ... ok sklearn.tests.test_common.test_transformer_n_iter('SparsePCA', SparsePCA(U_init=None, V_init=None, alpha=1, max_iter=1000, method='lars', ... ok sklearn.tests.test_common.test_get_params_invariance('ARDRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BayesianRidge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BernoulliNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Binarizer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Birch', ) ... ok sklearn.tests.test_common.test_get_params_invariance('CCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DBSCAN', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DPGMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ElasticNet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FastICA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FeatureUnion', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianProcess', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GraphLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GridSearchCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Imputer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Isomap', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KMeans', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelCenterer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelDensity', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelRidge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LDA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LSHForest', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LabelPropagation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LabelSpreading', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Lars', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LarsCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Lasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLars', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LedoitWolf', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearSVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearSVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LogisticRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MDS', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MeanShift', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MinCovDet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultinomialNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NMF', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NearestCentroid', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Normalizer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NuSVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NuSVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Nystroem', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OAS', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OneClassSVM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSCanonical', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSSVD', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Perceptron', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Pipeline', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_get_params_invariance('QDA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RBFSampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedSearchCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Ridge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RobustScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SGDClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SGDRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFdr', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFpr', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFromModel', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFwe', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectKBest', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectPercentile', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SparsePCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralBiclustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralClustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralCoclustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_get_params_invariance('StandardScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('TSNE', ) ... ok sklearn.tests.test_common.test_get_params_invariance('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('VBGMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_BaseRidgeCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_ConstantPredictor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_RidgeGCV', ) ... ok sklearn.tests.test_common.test_import_all_consistency ... ok sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok sklearn.tests.test_cross_validation.test_kfold_indices ... ok sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok sklearn.tests.test_cross_validation.test_kfold_balance ... ok sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.tests.test_cross_validation.test_label_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_split ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok sklearn.tests.test_cross_validation.test_cross_val_score ... ok sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split ... ok sklearn.tests.test_cross_validation.train_test_split_pandas ... ok sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.tests.test_cross_validation.test_permutation_score ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok sklearn.tests.test_cross_validation.test_cross_val_predict ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok sklearn.tests.test_cross_validation.test_check_is_partition ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok sklearn.tests.test_discriminant_analysis.test_qda ... ok sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok sklearn.tests.test_discriminant_analysis.test_qda_store_covariances ... ok sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok sklearn.tests.test_discriminant_analysis.test_deprecated_lda_qda_deprecation ... ok sklearn.tests.test_discriminant_analysis.test_covariance ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok sklearn.tests.test_dummy.test_stratified_strategy ... ok sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok sklearn.tests.test_dummy.test_uniform_strategy ... ok sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok sklearn.tests.test_dummy.test_string_labels ... ok sklearn.tests.test_dummy.test_classifier_exceptions ... ok sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_regressor_exceptions ... ok sklearn.tests.test_dummy.test_median_strategy_regressor ... ok sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_invalid ... ok sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok sklearn.tests.test_dummy.test_classification_sample_weight ... ok sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok sklearn.tests.test_grid_search.test_parameter_grid ... ok sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_grid_search_score_method ... ok sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok sklearn.tests.test_grid_search.test_no_refit ... ok sklearn.tests.test_grid_search.test_grid_search_error ... ok sklearn.tests.test_grid_search.test_grid_search_iid ... ok sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok sklearn.tests.test_grid_search.test_grid_search_no_score ... ok sklearn.tests.test_grid_search.test_refit ... ok sklearn.tests.test_grid_search.test_grid_search_sparse ... ok sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok sklearn.tests.test_grid_search.test_gridsearch_nd ... ok sklearn.tests.test_grid_search.test_X_as_list ... ok sklearn.tests.test_grid_search.test_y_as_list ... ok sklearn.tests.test_grid_search.test_pandas_input ... ok sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok sklearn.tests.test_grid_search.test_param_sampler ... ok sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok sklearn.tests.test_grid_search.test_pickle ... ok sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok sklearn.tests.test_init.test_import_skl ... ok sklearn.tests.test_isotonic.test_permutation_invariance ... ok sklearn.tests.test_isotonic.test_check_increasing_up ... ok sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok sklearn.tests.test_isotonic.test_check_increasing_down ... ok sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok sklearn.tests.test_isotonic.test_check_ci_warn ... ok sklearn.tests.test_isotonic.test_isotonic_regression ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok Test isotonic regression fit, transform and fit_transform ... ok sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok sklearn.tests.test_kernel_approximation.test_input_validation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok sklearn.tests.test_learning_curve.test_learning_curve ... ok sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok sklearn.tests.test_learning_curve.test_validation_curve ... ok sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok sklearn.tests.test_multiclass.test_ovr_exceptions ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok sklearn.tests.test_multiclass.test_ovr_always_present ... ok sklearn.tests.test_multiclass.test_ovr_multiclass ... ok sklearn.tests.test_multiclass.test_ovr_binary ... ok sklearn.tests.test_multiclass.test_ovr_multilabel ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok sklearn.tests.test_multiclass.test_deprecated ... ok sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok sklearn.tests.test_multiclass.test_ovr_pipeline ... ok sklearn.tests.test_multiclass.test_ovr_coef_ ... ok sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok sklearn.tests.test_multiclass.test_ovo_decision_function ... ok sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok sklearn.tests.test_multiclass.test_ovo_ties ... ok sklearn.tests.test_multiclass.test_ovo_ties2 ... ok sklearn.tests.test_multiclass.test_ovo_string_y ... ok sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok sklearn.tests.test_naive_bayes.test_gnb ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:361: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 6 but corresponding boolean dimension is 2 (y[~unique_y_in_classes], classes)) ok sklearn.tests.test_naive_bayes.test_gnb_prior ... ok Test whether sample weights are properly used in GNB. ... ok sklearn.tests.test_naive_bayes.test_discrete_prior ... ok sklearn.tests.test_naive_bayes.test_mnnb ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok sklearn.tests.test_naive_bayes.test_input_check_fit ... ok sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... ok sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok sklearn.tests.test_naive_bayes.test_bnb ... ok sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok sklearn.tests.test_pipeline.test_pipeline_init ... ok sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok sklearn.tests.test_pipeline.test_feature_union ... ok sklearn.tests.test_pipeline.test_make_union ... ok sklearn.tests.test_pipeline.test_pipeline_transform ... ok sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok sklearn.tests.test_pipeline.test_make_pipeline ... ok sklearn.tests.test_pipeline.test_feature_union_weights ... ok sklearn.tests.test_pipeline.test_feature_union_parallel ... ok sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok sklearn.tests.test_pipeline.test_classes_property ... ok sklearn.tests.test_pipeline.test_X1d_inverse_transform ... ok sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix( at 0x3ff846be588>,) ... ok sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok ---------------------------------------------------------------------- Ran 5343 tests in 98.410s OK (SKIP=15) Optimization terminated successfully. Current function value: 0.000000 Iterations: 10 Function evaluations: 11 Gradient evaluations: 20 Hessian evaluations: 40 Failure: ImportError (No module named github_link) ... ERROR Doctest: faq.rst ... ok ====================================================================== ERROR: Failure: ImportError (No module named github_link) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 418, in loadTestsFromName addr.filename, addr.module) File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 47, in importFromPath return self.importFromDir(dir_path, fqname) File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 94, in importFromDir mod = load_module(part_fqname, fh, filename, desc) File "/<>/doc/conf.py", line 26, in from github_link import make_linkcode_resolve ImportError: No module named github_link ---------------------------------------------------------------------- Ran 2 tests in 0.191s FAILED (errors=1) : # Run unittests here against installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "3.5" | grep -q '^3' && PY=3 || PY=3.5; \ export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \ export MPLCONFIGDIR=/<>/build HOME=/<>/build; \ export JOBLIB_MULTIPROCESSING=0; \ cd build/; python3.5 /usr/bin/nosetests -s -v sklearn && \ { python3.5 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/lda.py:4: DeprecationWarning: lda.LDA has been moved to discriminant_analysis.LinearDiscriminantAnalysis in 0.17 and will be removed in 0.19 "in 0.17 and will be removed in 0.19", DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/qda.py:4: DeprecationWarning: qda.QDA has been moved to discriminant_analysis.QuadraticDiscriminantAnalysis in 0.17 and will be removed in 0.19. "in 0.17 and will be removed in 0.19.", DeprecationWarning) sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 59 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed. sklearn.cluster.tests.test_bicluster.test_errors ... ok sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok sklearn.cluster.tests.test_birch.test_partial_fit ... ok sklearn.cluster.tests.test_birch.test_birch_predict ... ok sklearn.cluster.tests.test_birch.test_n_clusters ... ok sklearn.cluster.tests.test_birch.test_sparse_X ... ok sklearn.cluster.tests.test_birch.test_branching_factor ... ok sklearn.cluster.tests.test_birch.test_threshold ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok sklearn.cluster.tests.test_dbscan.test_input_validation ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok sklearn.cluster.tests.test_dbscan.test_pickle ... ok sklearn.cluster.tests.test_dbscan.test_boundaries ... ok sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok sklearn.cluster.tests.test_hierarchical.test_n_components ... ok sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) ok sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:630: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 549 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 549 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:630: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) ok sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok sklearn.cluster.tests.test_k_means.test_predict ... ok sklearn.cluster.tests.test_k_means.test_score ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 99 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_input_dtypes ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.cluster.tests.test_k_means.test_transform ... ok sklearn.cluster.tests.test_k_means.test_fit_transform ... ok sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok sklearn.cluster.tests.test_k_means.test_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_function ... ok Test that x_squared_norms can be None in _init_centroids ... ok sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... ok sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok sklearn.cluster.tests.test_mean_shift.test_parallel ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok sklearn.cluster.tests.test_spectral.test_affinities ... ok sklearn.cluster.tests.test_spectral.test_discretize ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 2 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 3 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 4 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 5 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 6 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 7 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py:184: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead y_true = random_state.random_integers(0, n_class, n_samples) ok sklearn.covariance.tests.test_covariance.test_covariance ... ok sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok sklearn.covariance.tests.test_covariance.test_oas ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Test too slow. sklearn.datasets.tests.test_base.test_data_home ... ok sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok sklearn.datasets.tests.test_base.test_default_load_files ... ok sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok sklearn.datasets.tests.test_base.test_load_sample_images ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:122: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_digits ... ok sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok sklearn.datasets.tests.test_base.test_load_sample_image ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:143: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:159: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_diabetes ... ok sklearn.datasets.tests.test_base.test_load_linnerud ... ok sklearn.datasets.tests.test_base.test_load_iris ... ok sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok sklearn.datasets.tests.test_base.test_load_boston ... ok sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead inspect.getargspec(func) sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded. SKIP: PIL not installed. sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok Test that fetch_mldata is able to download and cache a data set. ... ok sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test. sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok Test the construction of informative features in make_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_dump ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:466: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations ConvergenceWarning) ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok sklearn.decomposition.tests.test_fastica.test_gs ... ok sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok sklearn.decomposition.tests.test_nmf.test_nls_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nls_close ... ok sklearn.decomposition.tests.test_nmf.test_safe_compute_error ... ok sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok sklearn.decomposition.tests.test_nmf.test_projgrad_nmf_sparseness ... ok sklearn.decomposition.tests.test_nmf.test_sparse_input ... ok sklearn.decomposition.tests.test_nmf.test_sparse_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok Test LDA on empty document (all-zero rows). ... ok Test Cython version of Dirichlet expectation calculation. ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py:332: RuntimeWarning: underflow encountered in exp assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))), /usr/lib/python3/dist-packages/numpy/core/numeric.py:2436: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) ok sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok sklearn.decomposition.tests.test_pca.test_pca ... ok sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok sklearn.decomposition.tests.test_pca.test_whitening ... ok sklearn.decomposition.tests.test_pca.test_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_validation ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_dim ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_score ... ok sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform. sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok sklearn.ensemble.tests.test_bagging.test_classification ... ok sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:681: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.ensemble.tests.test_bagging.test_regression ... ok sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok sklearn.ensemble.tests.test_bagging.test_probability ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok sklearn.ensemble.tests.test_bagging.test_error ... ok sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok sklearn.ensemble.tests.test_bagging.test_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok sklearn.ensemble.tests.test_base.test_base ... ok sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok sklearn.ensemble.tests.test_forest.test_1d_input ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok sklearn.ensemble.tests.test_forest.test_random_hasher ... ok sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok sklearn.ensemble.tests.test_forest.test_parallel_train ... ok sklearn.ensemble.tests.test_forest.test_distribution ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok sklearn.ensemble.tests.test_forest.test_importances ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... /usr/lib/python3/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment. warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.') /usr/lib/python3/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment. warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.') ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok Check classification by majority label on dataset iris. ... ok Check voting classifier selects smaller class label in tie situation. ... ok Check classification by average probabilities on dataset iris. ... ok Manually check predicted class labels for toy dataset. ... ok Calculate predicted probabilities on toy dataset. ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Check if error is raised for multilabel classification. ... ok Check GridSearch support. ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok sklearn.ensemble.tests.test_weight_boosting.test_error ... ok sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok AdaBoostRegressor should work without sample_weights in the base estimator ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok sklearn.feature_extraction.tests.test_image.test_width_patch ... ok sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_feature_names ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok sklearn.feature_selection.tests.test_base.test_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_get_support ... ok sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok sklearn.feature_selection.tests.test_feature_select.test_nans ... ok sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok sklearn.feature_selection.tests.test_from_model.test_transform_linear_model ... ok sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok Test that SelectFromModel fits on a clone of the estimator. ... ok sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok sklearn.feature_selection.tests.test_from_model.test_warm_start ... ok Test all possible combinations of the prefit parameter. ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok Test that the threshold can be set without refitting the model. ... ok sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_deprecation_estimator_params ... ok sklearn.feature_selection.tests.test_rfe.test_rfe ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py:97: RuntimeWarning: underflow encountered in exp return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1)) ok sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py:1033: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.linear_model.tests.test_base.test_linear_regression ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_base.test_fit_intercept ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_center_data ... ok sklearn.linear_model.tests.test_base.test_center_data_multioutput ... ok sklearn.linear_model.tests.test_base.test_center_data_weighted ... ok sklearn.linear_model.tests.test_base.test_sparse_center_data ... ok sklearn.linear_model.tests.test_base.test_csr_sparse_center_data ... ok sklearn.linear_model.tests.test_base.test_rescale_data ... ok sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok sklearn.linear_model.tests.test_coordinate_descent.test_deprection_precompute_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... ok sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok sklearn.linear_model.tests.test_least_angle.test_simple ... ok sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... ok sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok sklearn.linear_model.tests.test_least_angle.test_no_path ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok sklearn.linear_model.tests.test_least_angle.test_no_warning_for_zero_mse ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok sklearn.linear_model.tests.test_logistic.test_error ... ok sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok sklearn.linear_model.tests.test_logistic.test_sparsify ... ok sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok sklearn.linear_model.tests.test_logistic.test_nan ... ok sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok sklearn.linear_model.tests.test_logistic.test_max_iter ... ok sklearn.linear_model.tests.test_logistic.test_warm_start ... ok sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_with_classweight_auto ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 9.266e+00 pre 8.148e+00 delta 1.024e+00 f 1.386e+01 |g| 2.015e+01 CG 2 iter 2 act 1.450e+00 pre 1.220e+00 delta 1.024e+00 f 4.597e+00 |g| 5.064e+00 CG 3 ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_n_iter ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_omp.test_tol ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:391: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:380: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_bad_input ... ok sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok sklearn.linear_model.tests.test_omp.test_estimator ... ok sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok sklearn.linear_model.tests.test_omp.test_no_atoms ... ok sklearn.linear_model.tests.test_omp.test_omp_path ... ok sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok sklearn.linear_model.tests.test_omp.test_omp_cv ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:391: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:609: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for k in range(n_resampling)) ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok sklearn.linear_model.tests.test_ridge.test_ridge ... ok sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse ... ok sklearn.linear_model.tests.test_ridge.test_n_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_class_weights ... ok Check class_weights resemble sample_weights behavior. ... ok sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... ok tests binary classifier with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok tests if classifier results match target ... ok sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok tests multiclass with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok tests if the binary classifier is computed correctly ... ok tests if the multiclass classifier is computed correctly ... ok tests if the sag pobj matches log reg ... ok tests if the sag pobj matches ridge reg ... ok tests if the sag regressor performs well ... ok tests if the sag regressor is computed correctly ... ok sklearn.linear_model.tests.test_sag.test_get_max_squared_sum ... ok tests if ValueError is thrown with only one class ... ok sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:826: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_n_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:826: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok Different number of biclusters in A and B ... ok sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 9 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:117: DeprecationWarning: This function is deprecated. Please call randint(0, 89 + 1) instead labels_a = random_labels(low=0, high=k - 1, size=n_samples) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:118: DeprecationWarning: This function is deprecated. Please call randint(0, 89 + 1) instead labels_b = random_labels(low=0, high=k - 1, size=n_samples) ok sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:194: DeprecationWarning: This function is deprecated. Please call randint(0, 10 + 1) instead labels_a, labels_b = random_state.random_integers(0, 10, i),\ /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py:195: DeprecationWarning: This function is deprecated. Please call randint(0, 10 + 1) instead random_state.random_integers(0, 10, i) ok sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_no_nan ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass_pos_label_none ... ok sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok sklearn.metrics.tests.test_classification.test_prf_warnings ... ok sklearn.metrics.tests.test_classification.test_recall_warnings ... ok sklearn.metrics.tests.test_classification.test_precision_warnings ... ok sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok sklearn.metrics.tests.test_classification.test_prf_average_compat ... ok sklearn.metrics.tests.test_classification.test__check_targets ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok sklearn.metrics.tests.test_classification.test_log_loss ... ok sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok sklearn.metrics.tests.test_common.test_symmetry ... ok sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multiclasss_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('precision_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('recall_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f1_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f2_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multiclass('f0.5_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('precision_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('recall_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f1_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f2_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 0, 1], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0., 0., 0.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('precision_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('recall_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f1_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f2_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1., 1., 1.], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(, beta=2), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(, multioutput='variance_weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(, average='weighted', beta=0.5), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(, beta=0.5), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(, average='micro', beta=2), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(, average='micro', beta=0.5), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(, average='weighted', beta=2), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(, average='macro', beta=0.5), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(, average='macro', beta=2), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(, beta=2), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(, multioutput='variance_weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(, average='weighted', beta=0.5), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(, beta=0.5), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(, average='micro', beta=2), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(, average='micro', beta=0.5), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(, average='weighted', beta=2), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(, average='macro', beta=0.5), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(, average='macro', beta=2), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(, beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(, beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(, average='weighted', beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(, average='weighted', beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(, average='micro', beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(, average='micro', beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(, average='macro', beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(, average='macro', beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f0.5_score', functools.partial(, average='samples', beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f1_score', functools.partial(, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f2_score', functools.partial(, average='samples', beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_precision_score', functools.partial(, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_recall_score', functools.partial(, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('roc_auc_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_roc_auc', functools.partial(, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_roc_auc', functools.partial(, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_roc_auc', functools.partial(, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_roc_auc', functools.partial(, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('average_precision_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_average_precision_score', functools.partial(, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_average_precision_score', functools.partial(, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_average_precision_score', functools.partial(, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_average_precision_score', functools.partial(, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('coverage_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('label_ranking_loss', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(, multioutput='variance_weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', , array([[0, 1, 0, ..., 0, 0, 0], ... ok sklearn.metrics.tests.test_common.test_no_averaging_labels ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples. 'recall', 'true', average, warn_for) ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'euclidean', {}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'polynomial', {'degree': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'gamma': 0.1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok sklearn.metrics.tests.test_ranking.test_roc_curve ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok sklearn.metrics.tests.test_ranking.test_roc_nonrepeating_thresholds ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py:538: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless UndefinedMetricWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py:530: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless UndefinedMetricWarning) ok sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok sklearn.metrics.tests.test_ranking.test_auc ... ok sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok sklearn.metrics.tests.test_ranking.test_auc_errors ... ok sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_coverage_error ... ok sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok sklearn.metrics.tests.test_regression.test_regression_metrics ... ok sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead inspect.getargspec(func) sklearn.metrics.tests.test_score_objects.test_check_scoring ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok sklearn.metrics.tests.test_score_objects.test_unsupervised_scorers ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead inspect.getargspec(func) test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:40: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp out = np.log(np.sum(np.exp(arr - vmax), axis=0)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... ok sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok sklearn.mixture.tests.test_gmm.test_multiple_init ... ok sklearn.mixture.tests.test_gmm.test_n_parameters ... ok sklearn.mixture.tests.test_gmm.test_1d_1component ... ok test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok sklearn.mixture.tests.test_gmm.test_aic ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok Test l1_min_c loss='log' sparse two-classes no-intercept ... ok Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok Test l1_min_c loss='log' sparse multi-class no-intercept ... ok Test l1_min_c loss='log' dense two-classes fit-intercept ... ok Test l1_min_c loss='log' dense two-classes no-intercept ... ok Test l1_min_c loss='log' dense multi-class fit-intercept ... ok Test l1_min_c loss='log' dense multi-class no-intercept ... ok sklearn.svm.tests.test_bounds.test_l2_deprecation ... ok sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok Check that sparse SVC gives the same result as SVC ... ok sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok sklearn.svm.tests.test_sparse.test_svc_iris ... ok sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok sklearn.svm.tests.test_sparse.test_error ... ok sklearn.svm.tests.test_sparse.test_linearsvc ... ok sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok sklearn.svm.tests.test_sparse.test_weight ... ok sklearn.svm.tests.test_sparse.test_sample_weights ... ok sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_sparse.test_timeout ... ok sklearn.svm.tests.test_sparse.test_consistent_proba ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py:224: ConvergenceWarning: Solver terminated early (max_iter=1). Consider pre-processing your data with StandardScaler or MinMaxScaler. % self.max_iter, ConvergenceWarning) ok sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok sklearn.svm.tests.test_svm.test_libsvm_iris ... ok sklearn.svm.tests.test_svm.test_precomputed ... ok sklearn.svm.tests.test_svm.test_svr ... ok sklearn.svm.tests.test_svm.test_linearsvr ... ok sklearn.svm.tests.test_svm.test_svr_errors ... ok sklearn.svm.tests.test_svm.test_oneclass ... ok sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok sklearn.svm.tests.test_svm.test_tweak_params ... ok sklearn.svm.tests.test_svm.test_probability ... ok sklearn.svm.tests.test_svm.test_decision_function ... ok sklearn.svm.tests.test_svm.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_single_sample_1d ... ok sklearn.svm.tests.test_svm.test_decision_function_shape ... ok sklearn.svm.tests.test_svm.test_svr_predict ... ok sklearn.svm.tests.test_svm.test_weight ... ok sklearn.svm.tests.test_svm.test_sample_weights ... ok sklearn.svm.tests.test_svm.test_auto_weight ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) ok sklearn.svm.tests.test_svm.test_bad_input ... ok sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penalty ... ok sklearn.svm.tests.test_svm.test_linearsvc ... ok sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok sklearn.svm.tests.test_svm.test_timeout ... ok sklearn.svm.tests.test_svm.test_unfitted ... ok sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ... optimization finished, #iter = 2 WARNING: reaching max number of iterations Using -s 2 may be faster (also see FAQ) Objective value = -0.221693 nSV = 2 ok sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok sklearn.tree.tests.test_export.test_graphviz_toy ... ok sklearn.tree.tests.test_export.test_graphviz_errors ... ok sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok sklearn.tree.tests.test_tree.test_classification_toy ... ok sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok sklearn.tree.tests.test_tree.test_regression_toy ... ok sklearn.tree.tests.test_tree.test_xor ... ok sklearn.tree.tests.test_tree.test_iris ... ok sklearn.tree.tests.test_tree.test_boston ... ok sklearn.tree.tests.test_tree.test_probability ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_arrayrepr ... ok sklearn.tree.tests.test_tree.test_1d_input ... ok sklearn.tree.tests.test_tree.test_pure_set ... ok sklearn.tree.tests.test_tree.test_numerical_stability ... ok sklearn.tree.tests.test_tree.test_importances ... ok sklearn.tree.tests.test_tree.test_importances_raises ... ok sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok sklearn.tree.tests.test_tree.test_max_features ... ok sklearn.tree.tests.test_tree.test_error ... ok sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_pickle ... ok sklearn.tree.tests.test_tree.test_multioutput ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_classes_shape ... ok sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok sklearn.tree.tests.test_tree.test_memory_layout ... ok sklearn.tree.tests.test_tree.test_sample_weight ... ok sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok sklearn.tree.tests.test_tree.test_arrays_persist ... ok sklearn.tree.tests.test_tree.test_only_constant_features ... ok sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok sklearn.tree.tests.test_tree.test_big_input ... ok sklearn.tree.tests.test_tree.test_realloc ... ok sklearn.tree.tests.test_tree.test_huge_allocations ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.utils.tests.test_bench.test_total_seconds ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_negative ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_unordered ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimator ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok sklearn.utils.tests.test_extmath.test_density ... ok sklearn.utils.tests.test_extmath.test_uniform_weights ... ok sklearn.utils.tests.test_extmath.test_random_weights ... ok sklearn.utils.tests.test_extmath.test_logsumexp ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank ... ok sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok sklearn.utils.tests.test_extmath.test_row_norms ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok sklearn.utils.tests.test_extmath.test_svd_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok sklearn.utils.tests.test_extmath.test_cartesian ... ok sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok sklearn.utils.tests.test_extmath.test_fast_dot ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok sklearn.utils.tests.test_extmath.test_softmax ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok sklearn.utils.tests.test_fixes.test_expit ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py:23: RuntimeWarning: underflow encountered in exp assert_almost_equal(expit(1000.), 1. / (1. + np.exp(-1000.)), decimal=16) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py:24: RuntimeWarning: underflow encountered in exp assert_almost_equal(expit(-1000.), np.exp(-1000.) / (1. + np.exp(-1000.)), ok sklearn.utils.tests.test_fixes.test_divide ... ok sklearn.utils.tests.test_fixes.test_astype_copy_memory ... ok sklearn.utils.tests.test_graph.test_graph_laplacian ... ok sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok sklearn.utils.tests.test_multiclass.test_unique_labels ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok sklearn.utils.tests.test_multiclass.test_type_of_target ... ok sklearn.utils.tests.test_multiclass.test_class_distribution ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok sklearn.utils.tests.test_optimize.test_newton_cg ... ok sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok sklearn.utils.tests.test_random.test_random_choice_csc ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py:280: RuntimeWarning: invalid value encountered in true_divide np.sum(class_probability_nz)) ok sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py:95: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for i in range(n_samples)] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py:95: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for i in range(n_samples)] ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok sklearn.utils.tests.test_stats.test_cases([100], 'max', [1.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... ok test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok sklearn.utils.tests.test_testing.test_assert_less ... ok sklearn.utils.tests.test_testing.test_assert_greater ... ok sklearn.utils.tests.test_testing.test_assert_less_equal ... ok sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok sklearn.utils.tests.test_testing.test_set_random_state ... ok sklearn.utils.tests.test_testing.test_assert_raise_message ... ok sklearn.utils.tests.test_utils.test_make_rng ... ok sklearn.utils.tests.test_utils.test_resample_noarg ... ok sklearn.utils.tests.test_utils.test_deprecated ... ok sklearn.utils.tests.test_utils.test_resample_value_errors ... ok sklearn.utils.tests.test_utils.test_safe_mask ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok sklearn.utils.tests.test_utils.test_column_or_1d ... ok sklearn.utils.tests.test_utils.test_safe_indexing ... ok sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok sklearn.utils.tests.test_utils.test_gen_even_slices ... ok sklearn.utils.tests.test_validation.test_as_float_array ... ok sklearn.utils.tests.test_validation.test_np_matrix ... ok sklearn.utils.tests.test_validation.test_memmap ... ok sklearn.utils.tests.test_validation.test_ordering ... ok sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok sklearn.utils.tests.test_validation.test_check_array ... ok sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok sklearn.utils.tests.test_validation.test_check_symmetric ... ok sklearn.utils.tests.test_validation.test_check_is_fitted ... ok sklearn.utils.tests.test_validation.test_check_consistent_length ... ok sklearn.tests.test_base.test_clone ... ok sklearn.tests.test_base.test_clone_2 ... ok sklearn.tests.test_base.test_clone_buggy ... ok sklearn.tests.test_base.test_clone_empty_array ... ok sklearn.tests.test_base.test_clone_nan ... ok sklearn.tests.test_base.test_repr ... ok sklearn.tests.test_base.test_str ... ok sklearn.tests.test_base.test_get_params ... ok sklearn.tests.test_base.test_get_params_deprecated ... ok sklearn.tests.test_base.test_is_classifier ... ok sklearn.tests.test_base.test_set_params ... ok sklearn.tests.test_base.test_score_sample_weight ... ok sklearn.tests.test_calibration.test_sample_weight_warning ... ok Test calibration for multiclass ... ok Test calibration for prefitted classifiers ... ok Test calibration values with Platt sigmoid model ... ok Check calibration_curve function ... ok Test that calibration can accept nan ... ok Test calibration objects with isotonic and sigmoid ... ok sklearn.tests.test_check_build.test_raise_build_error ... ok sklearn.tests.test_common.test_all_estimator_no_base_class ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/metrics.py:4: DeprecationWarning: sklearn.metrics.metrics is deprecated and will be removed in 0.18. Please import from sklearn.metrics DeprecationWarning) ok sklearn.tests.test_common.test_all_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_all_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_all_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_all_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('BaseEnsemble', ) ... ok sklearn.tests.test_common.test_all_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_all_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_all_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_all_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_all_estimators('Birch', ) ... ok sklearn.tests.test_common.test_all_estimators('CCA', ) ... ok sklearn.tests.test_common.test_all_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_all_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_all_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_all_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_all_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_all_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_all_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_all_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_all_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_all_estimators('GMM', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_all_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_all_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_all_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_all_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_all_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_all_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_all_estimators('LDA', ) ... ok sklearn.tests.test_common.test_all_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_all_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_all_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_all_estimators('Lars', ) ... ok sklearn.tests.test_common.test_all_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_all_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_all_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_all_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_all_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_all_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_all_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_all_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MDS', ) ... ok sklearn.tests.test_common.test_all_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_all_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_all_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_all_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_all_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_all_estimators('NMF', ) ... ok sklearn.tests.test_common.test_all_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_all_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_all_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_all_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_all_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_all_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_all_estimators('OAS', ) ... ok sklearn.tests.test_common.test_all_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_all_estimators('OneVsOneClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('OneVsRestClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_all_estimators('OutputCodeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('PCA', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_all_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_all_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_all_estimators('QDA', ) ... ok sklearn.tests.test_common.test_all_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_all_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_all_estimators('RFE', ) ... ok sklearn.tests.test_common.test_all_estimators('RFECV', ) ... ok sklearn.tests.test_common.test_all_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_all_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_all_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_all_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_all_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('SVC', ) ... ok sklearn.tests.test_common.test_all_estimators('SVR', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_all_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_all_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_all_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_all_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_all_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralBiclustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralCoclustering', ) ... ok sklearn.tests.test_common.test_all_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_all_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_all_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_all_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_all_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_all_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_all_estimators('_BaseRidgeCV', ) ... ok sklearn.tests.test_common.test_all_estimators('_ConstantPredictor', ) ... ok sklearn.tests.test_common.test_all_estimators('_RidgeGCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) /usr/lib/python3/dist-packages/numpy/core/numeric.py:482: DeprecationWarning: Non length-one string passed in for the array ordering. Please pass in 'C', 'F', 'A', or 'K' instead return array(a, dtype, copy=False, order=order) ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Binarizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Birch', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DPGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FastICA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py:344: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 30 but corresponding boolean dimension is 3 missing = np.arange(X.shape[not self.axis])[invalid_mask] ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Imputer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Isomap', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LSHForest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:349: RuntimeWarning: underflow encountered in true_divide affinity_matrix /= normalizer[:, np.newaxis] ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in true_divide lap /= w ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Lasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLars', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MDS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MeanShift', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by MinMaxScaler. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 8 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 39 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, self.batch_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 19 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 49 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations warnings.warn('Objective did not converge, you might want' ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Normalizer', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('NuSVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Nystroem', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OAS', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... SKIP sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Perceptron', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QDA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py:53: DeprecationWarning: This function is deprecated. Please call randint(0, 1 + 1) instead for _ in range(n_resampling)): ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('Ridge', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVC', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SVR', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by StandardScaler. warnings.warn(msg, DataConversionWarning) ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TSNE', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VBGMM', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_configure ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LinearSVC', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegression', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegressionCV', ) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. % (min_labels, self.n_folds)), Warning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3. % (min_labels, self.n_folds)), Warning) ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('Perceptron', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('SGDClassifier', ) ... ok sklearn.tests.test_common.test_root_import_all_completeness ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNet', ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNetCV', ElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LarsCV', LarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('Lasso', Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoCV', LassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLars', LassoLars(alpha=0.0, copy_X=True, eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsCV', LassoLarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsIC', LassoLarsIC(copy_X=True, criterion='aic', eps=2.2204460492503131e-16, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LinearSVR', LinearSVR(C=1.0, dual=True, epsilon=0.0, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNet', MultiTaskElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNetCV', MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLasso', MultiTaskLasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLassoCV', MultiTaskLassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('OrthogonalMatchingPursuitCV', OrthogonalMatchingPursuitCV(copy=True, cv=None, fit_intercept=True, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('TheilSenRegressor', TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelPropagation', LabelPropagation(alpha=1, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:349: RuntimeWarning: underflow encountered in true_divide affinity_matrix /= normalizer[:, np.newaxis] ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelSpreading', LabelSpreading(alpha=0.2, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in true_divide lap /= w /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:176: RuntimeWarning: underflow encountered in true_divide lap /= w[:, np.newaxis] ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('AffinityPropagation', AffinityPropagation(affinity='euclidean', convergence_iter=15, copy=True, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py:106: RuntimeWarning: underflow encountered in multiply random_state.randn(n_samples, n_samples)) ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 149 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 149 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_transformer_n_iter('CCA', CCA(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok sklearn.tests.test_common.test_transformer_n_iter('DictionaryLearning', DictionaryLearning(alpha=1, code_init=None, dict_init=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('FactorAnalysis', FactorAnalysis(copy=True, iterated_power=3, max_iter=1000, n_components=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('FastICA', FastICA(algorithm='parallel', fun='logcosh', fun_args=None, max_iter=200, ... ok sklearn.tests.test_common.test_transformer_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok sklearn.tests.test_common.test_transformer_n_iter('LatentDirichletAllocation', LatentDirichletAllocation(batch_size=128, doc_topic_prior=None, ... ok sklearn.tests.test_common.test_transformer_n_iter('LinearSVC', LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True, ... ok sklearn.tests.test_common.test_transformer_n_iter('LogisticRegression', LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, ... ok sklearn.tests.test_common.test_transformer_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1279: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, init_size) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py:1328: DeprecationWarning: This function is deprecated. Please call randint(0, 29 + 1) instead 0, n_samples - 1, self.batch_size) ok sklearn.tests.test_common.test_transformer_n_iter('NMF', NMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, max_iter=200, ... ok sklearn.tests.test_common.test_transformer_n_iter('PLSCanonical', PLSCanonical(algorithm='nipals', copy=True, max_iter=500, n_components=2, ... ok sklearn.tests.test_common.test_transformer_n_iter('PLSRegression', PLSRegression(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok sklearn.tests.test_common.test_transformer_n_iter('ProjectedGradientNMF', ProjectedGradientNMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, ... ok sklearn.tests.test_common.test_transformer_n_iter('SparsePCA', SparsePCA(U_init=None, V_init=None, alpha=1, max_iter=1000, method='lars', ... ok sklearn.tests.test_common.test_get_params_invariance('ARDRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdaBoostClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdaBoostRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AdditiveChi2Sampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AffinityPropagation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('AgglomerativeClustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BaggingClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BaggingRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BayesianRidge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BernoulliNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('BernoulliRBM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Binarizer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Birch', ) ... ok sklearn.tests.test_common.test_get_params_invariance('CCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('CalibratedClassifierCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DBSCAN', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DPGMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DecisionTreeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DecisionTreeRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('DictionaryLearning', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ElasticNet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ElasticNetCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('EmpiricalCovariance', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreeRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreesClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ExtraTreesRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FactorAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FastICA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FeatureAgglomeration', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FeatureUnion', ) ... ok sklearn.tests.test_common.test_get_params_invariance('FunctionTransformer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianProcess', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GaussianRandomProjection', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GenericUnivariateSelect', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GradientBoostingClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GradientBoostingRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GraphLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GraphLassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('GridSearchCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Imputer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('IncrementalPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Isomap', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KMeans', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelCenterer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelDensity', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('KernelRidge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LDA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LSHForest', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LabelPropagation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LabelSpreading', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Lars', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LarsCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Lasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLars', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLarsCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LassoLarsIC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LatentDirichletAllocation', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LedoitWolf', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearSVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LinearSVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LocallyLinearEmbedding', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LogisticRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('LogisticRegressionCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MDS', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MaxAbsScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MeanShift', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MinCovDet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MinMaxScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchDictionaryLearning', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchKMeans', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MiniBatchSparsePCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNet', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNetCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultiTaskLassoCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('MultinomialNB', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NMF', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NearestCentroid', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NearestNeighbors', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Normalizer', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NuSVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('NuSVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Nystroem', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OAS', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OneClassSVM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuit', ) ... ok sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuitCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSCanonical', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PLSSVD', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Perceptron', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Pipeline', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ProjectedGradientNMF', ) ... ok sklearn.tests.test_common.test_get_params_invariance('QDA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('QuadraticDiscriminantAnalysis', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RANSACRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RBFSampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomForestClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomForestRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedLasso', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedLogisticRegression', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedPCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RandomizedSearchCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('Ridge', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RidgeClassifierCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('RobustScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SGDClassifier', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SGDRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SVC', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SVR', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFdr', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFpr', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFromModel', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectFwe', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectKBest', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SelectPercentile', ) ... ok sklearn.tests.test_common.test_get_params_invariance('ShrunkCovariance', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SkewedChi2Sampler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SparsePCA', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SparseRandomProjection', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralBiclustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralClustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralCoclustering', ) ... ok sklearn.tests.test_common.test_get_params_invariance('SpectralEmbedding', ) ... ok sklearn.tests.test_common.test_get_params_invariance('StandardScaler', ) ... ok sklearn.tests.test_common.test_get_params_invariance('TSNE', ) ... ok sklearn.tests.test_common.test_get_params_invariance('TheilSenRegressor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('VBGMM', ) ... ok sklearn.tests.test_common.test_get_params_invariance('VarianceThreshold', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_BaseRidgeCV', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_ConstantPredictor', ) ... ok sklearn.tests.test_common.test_get_params_invariance('_RidgeGCV', ) ... ok sklearn.tests.test_common.test_import_all_consistency ... ok sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok sklearn.tests.test_cross_validation.test_kfold_indices ... ok sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok sklearn.tests.test_cross_validation.test_kfold_balance ... ok sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.tests.test_cross_validation.test_label_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_split ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok sklearn.tests.test_cross_validation.test_cross_val_score ... ok sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split ... ok sklearn.tests.test_cross_validation.train_test_split_pandas ... ok sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.tests.test_cross_validation.test_permutation_score ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok sklearn.tests.test_cross_validation.test_cross_val_predict ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok sklearn.tests.test_cross_validation.test_check_is_partition ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok sklearn.tests.test_discriminant_analysis.test_qda ... ok sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok sklearn.tests.test_discriminant_analysis.test_qda_store_covariances ... ok sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok sklearn.tests.test_discriminant_analysis.test_deprecated_lda_qda_deprecation ... ok sklearn.tests.test_discriminant_analysis.test_covariance ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok sklearn.tests.test_dummy.test_stratified_strategy ... ok sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok sklearn.tests.test_dummy.test_uniform_strategy ... ok sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok sklearn.tests.test_dummy.test_string_labels ... ok sklearn.tests.test_dummy.test_classifier_exceptions ... ok sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_regressor_exceptions ... ok sklearn.tests.test_dummy.test_median_strategy_regressor ... ok sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_invalid ... ok sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok sklearn.tests.test_dummy.test_classification_sample_weight ... ok sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok sklearn.tests.test_grid_search.test_parameter_grid ... ok sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_grid_search_score_method ... ok sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok sklearn.tests.test_grid_search.test_no_refit ... ok sklearn.tests.test_grid_search.test_grid_search_error ... ok sklearn.tests.test_grid_search.test_grid_search_iid ... ok sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok sklearn.tests.test_grid_search.test_grid_search_no_score ... ok sklearn.tests.test_grid_search.test_refit ... ok sklearn.tests.test_grid_search.test_grid_search_sparse ... ok sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok sklearn.tests.test_grid_search.test_gridsearch_nd ... ok sklearn.tests.test_grid_search.test_X_as_list ... ok sklearn.tests.test_grid_search.test_y_as_list ... ok sklearn.tests.test_grid_search.test_pandas_input ... ok sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok sklearn.tests.test_grid_search.test_param_sampler ... ok sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok sklearn.tests.test_grid_search.test_pickle ... ok sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok sklearn.tests.test_init.test_import_skl ... ok sklearn.tests.test_isotonic.test_permutation_invariance ... ok sklearn.tests.test_isotonic.test_check_increasing_up ... ok sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok sklearn.tests.test_isotonic.test_check_increasing_down ... ok sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok sklearn.tests.test_isotonic.test_check_ci_warn ... ok sklearn.tests.test_isotonic.test_isotonic_regression ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok Test isotonic regression fit, transform and fit_transform ... ok sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok sklearn.tests.test_kernel_approximation.test_input_validation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok sklearn.tests.test_learning_curve.test_learning_curve ... ok sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok sklearn.tests.test_learning_curve.test_validation_curve ... ok sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok sklearn.tests.test_multiclass.test_ovr_exceptions ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok sklearn.tests.test_multiclass.test_ovr_always_present ... ok sklearn.tests.test_multiclass.test_ovr_multiclass ... ok sklearn.tests.test_multiclass.test_ovr_binary ... ok sklearn.tests.test_multiclass.test_ovr_multilabel ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok sklearn.tests.test_multiclass.test_deprecated ... ok sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok sklearn.tests.test_multiclass.test_ovr_pipeline ... ok sklearn.tests.test_multiclass.test_ovr_coef_ ... ok sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok sklearn.tests.test_multiclass.test_ovo_decision_function ... ok sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok sklearn.tests.test_multiclass.test_ovo_ties ... ok sklearn.tests.test_multiclass.test_ovo_ties2 ... ok sklearn.tests.test_multiclass.test_ovo_string_y ... ok sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok sklearn.tests.test_naive_bayes.test_gnb ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:361: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 6 but corresponding boolean dimension is 2 (y[~unique_y_in_classes], classes)) ok sklearn.tests.test_naive_bayes.test_gnb_prior ... ok Test whether sample weights are properly used in GNB. ... ok sklearn.tests.test_naive_bayes.test_discrete_prior ... ok sklearn.tests.test_naive_bayes.test_mnnb ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_pickle ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_input_check_fit ... ok sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) ok sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok sklearn.tests.test_naive_bayes.test_bnb ... ok sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok sklearn.tests.test_pipeline.test_pipeline_init ... ok sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok sklearn.tests.test_pipeline.test_feature_union ... ok sklearn.tests.test_pipeline.test_make_union ... ok sklearn.tests.test_pipeline.test_pipeline_transform ... ok sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok sklearn.tests.test_pipeline.test_make_pipeline ... ok sklearn.tests.test_pipeline.test_feature_union_weights ... ok sklearn.tests.test_pipeline.test_feature_union_parallel ... ok sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok sklearn.tests.test_pipeline.test_classes_property ... ok sklearn.tests.test_pipeline.test_X1d_inverse_transform ... ok sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(. at 0x3ffa25f0510>,) ... ok sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok ---------------------------------------------------------------------- Ran 5343 tests in 96.949s OK (SKIP=14) I: Seeding RNGs with 2064085447 Converged after 58 iterations. --- [LibLinear][LibLinear][LibLinear]Optimization terminated successfully. Current function value: 0.000000 Iterations: 10 Function evaluations: 11 Gradient evaluations: 20 Hessian evaluations: 40 Failure: ImportError (No module named 'github_link') ... ERROR Doctest: faq.rst ... ok ====================================================================== ERROR: Failure: ImportError (No module named 'github_link') ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest raise self.exc_val.with_traceback(self.tb) File "/usr/lib/python3/dist-packages/nose/loader.py", line 418, in loadTestsFromName addr.filename, addr.module) File "/usr/lib/python3/dist-packages/nose/importer.py", line 47, in importFromPath return self.importFromDir(dir_path, fqname) File "/usr/lib/python3/dist-packages/nose/importer.py", line 94, in importFromDir mod = load_module(part_fqname, fh, filename, desc) File "/usr/lib/python3.5/imp.py", line 234, in load_module return load_source(name, filename, file) File "/usr/lib/python3.5/imp.py", line 172, in load_source module = _load(spec) File "", line 693, in _load File "", line 673, in _load_unlocked File "", line 662, in exec_module File "", line 222, in _call_with_frames_removed File "/<>/doc/conf.py", line 26, in from github_link import make_linkcode_resolve ImportError: No module named 'github_link' ---------------------------------------------------------------------- Ran 2 tests in 0.325s FAILED (errors=1) : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_auto_install --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' dh_install -a -O--buildsystem=python_distutils debian/rules override_dh_installdocs make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Build Documentation using installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # not building documentation in -a : # Use jquery from Debian package, so prune shipped one rm doc/_build/html/stable/_static/jquery.js rm: cannot remove 'doc/_build/html/stable/_static/jquery.js': No such file or directory debian/rules:67: recipe for target 'override_dh_installdocs' failed make[1]: [override_dh_installdocs] Error 1 (ignored) rm doc/_build/html/stable/_static/underscore.js rm: cannot remove 'doc/_build/html/stable/_static/underscore.js': No such file or directory debian/rules:67: recipe for target 'override_dh_installdocs' failed make[1]: [override_dh_installdocs] Error 1 (ignored) dh_installdocs -A AUTHORS.rst README*.rst make[1]: Leaving directory '/<>' debian/rules override_dh_installchangelogs make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_installchangelogs doc/whats_new.rst dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[1]: Leaving directory '/<>' debian/rules override_dh_python2 make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ ! -e debian/python-sklearn ] \ || find debian/python-sklearn/usr/lib -name "*.so" -delete; dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ -e /usr/bin/dh_numpy ] && dh_numpy -ppython-sklearn-lib || : : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package if [ 2 -eq 2 ]; then \ set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done; \ fi dh_python2 I: dh_python2 fs:328: renaming _isotonic.so to _isotonic.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _online_lda.so to _online_lda.s390x-linux-gnu.so I: dh_python2 fs:328: renaming cdnmf_fast.so to cdnmf_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming liblinear.so to liblinear.s390x-linux-gnu.so I: dh_python2 fs:328: renaming libsvm.so to libsvm.s390x-linux-gnu.so I: dh_python2 fs:328: renaming libsvm_sparse.so to libsvm_sparse.s390x-linux-gnu.so I: dh_python2 fs:328: renaming cd_fast.so to cd_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming sag_fast.so to sag_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming sgd_fast.so to sgd_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _check_build.so to _check_build.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _criterion.so to _criterion.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _splitter.so to _splitter.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _tree.so to _tree.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _utils.so to _utils.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _barnes_hut_tsne.so to _barnes_hut_tsne.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _utils.so to _utils.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _logistic_sigmoid.so to _logistic_sigmoid.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _random.so to _random.s390x-linux-gnu.so I: dh_python2 fs:328: renaming arrayfuncs.so to arrayfuncs.s390x-linux-gnu.so I: dh_python2 fs:328: renaming fast_dict.so to fast_dict.s390x-linux-gnu.so I: dh_python2 fs:328: renaming graph_shortest_path.so to graph_shortest_path.s390x-linux-gnu.so I: dh_python2 fs:328: renaming lgamma.so to lgamma.s390x-linux-gnu.so I: dh_python2 fs:328: renaming murmurhash.so to murmurhash.s390x-linux-gnu.so I: dh_python2 fs:328: renaming seq_dataset.so to seq_dataset.s390x-linux-gnu.so I: dh_python2 fs:328: renaming sparsefuncs_fast.so to sparsefuncs_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming weight_vector.so to weight_vector.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _graph_tools.so to _graph_tools.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _traversal.so to _traversal.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _gradient_boosting.so to _gradient_boosting.s390x-linux-gnu.so I: dh_python2 fs:328: renaming ball_tree.so to ball_tree.s390x-linux-gnu.so I: dh_python2 fs:328: renaming dist_metrics.so to dist_metrics.s390x-linux-gnu.so I: dh_python2 fs:328: renaming kd_tree.so to kd_tree.s390x-linux-gnu.so I: dh_python2 fs:328: renaming typedefs.so to typedefs.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _svmlight_format.so to _svmlight_format.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _dbscan_inner.so to _dbscan_inner.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _hierarchical.so to _hierarchical.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _k_means.so to _k_means.s390x-linux-gnu.so I: dh_python2 fs:328: renaming pairwise_fast.so to pairwise_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming expected_mutual_info_fast.so to expected_mutual_info_fast.s390x-linux-gnu.so I: dh_python2 fs:328: renaming _hashing.so to _hashing.s390x-linux-gnu.so : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_python2 --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' debian/rules override_dh_python3 make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ ! -e debian/python3-sklearn ] \ || find debian/python3-sklearn/usr/lib -name "*.so" -delete; dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ -e /usr/bin/dh_numpy3 ] && dh_numpy3 -ppython3-sklearn-lib || : : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package if [ 3 -eq 2 ]; then \ set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done; \ fi dh_python3 : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_python3 --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' dh_perl -a -O--buildsystem=python_distutils dh_link -a -O--buildsystem=python_distutils dh_strip_nondeterminism -a -O--buildsystem=python_distutils debian/rules override_dh_compress make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -Xobjects.inv dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[1]: Leaving directory '/<>' dh_fixperms -a -O--buildsystem=python_distutils dh_strip -a -O--buildsystem=python_distutils dh_strip debug symbol extraction: enabling -a due to Build-Debug-Symbols: yes in /CurrentlyBuilding dh_strip debug symbol extraction: all non-arch-all packages for this build platform s390x: python-sklearn-lib python3-sklearn-lib dh_strip debug symbol extraction: packages to act on: python-sklearn-lib python3-sklearn-lib dh_strip debug symbol extraction: ignored packages: /usr/bin/pkg_create_dbgsym: ignoring python* package: python-sklearn-lib /usr/bin/pkg_create_dbgsym: ignoring python* package: python3-sklearn-lib dh_makeshlibs -a -O--buildsystem=python_distutils dh_shlibdeps -a -O--buildsystem=python_distutils dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_utils.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/ball_tree.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/_traversal.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/typedefs.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/lgamma.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/liblinear.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/_random.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/kd_tree.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/decomposition/_online_lda.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/graph_shortest_path.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/weight_vector.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/decomposition/cdnmf_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm_sparse.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_dbscan_inner.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/arrayfuncs.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/dist_metrics.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/manifold/_utils.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_splitter.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_tree.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/_isotonic.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/seq_dataset.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/_logistic_sigmoid.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_criterion.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/fast_dict.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/manifold/_barnes_hut_tsne.s390x-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/_graph_tools.s390x-linux-gnu.so were not linked against libpthread.so.0 (they use none of the library's symbols) dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/datasets/_svmlight_format.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/decomposition/cdnmf_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/sgd_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_k_means.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/lgamma.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/arrayfuncs.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_tree.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_criterion.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/feature_extraction/_hashing.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/fast_dict.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/typedefs.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/metrics/pairwise_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_dbscan_inner.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/sag_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/ball_tree.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/libsvm.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_utils.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/decomposition/_online_lda.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/cd_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/graph_shortest_path.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/ensemble/_gradient_boosting.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/manifold/_utils.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/weight_vector.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/_random.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/dist_metrics.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_hierarchical.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/seq_dataset.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/_logistic_sigmoid.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/__check_build/_check_build.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/libsvm_sparse.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/kd_tree.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_splitter.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/manifold/_barnes_hut_tsne.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/_isotonic.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs_fast.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_tools.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/liblinear.cpython-35m-s390x-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_traversal.cpython-35m-s390x-linux-gnu.so were not linked against libpthread.so.0 (they use none of the library's symbols) dh_installdeb -a -O--buildsystem=python_distutils dh_gencontrol -a -O--buildsystem=python_distutils dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions} dpkg-gencontrol: warning: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides} dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides} dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions} dh_gencontrol debug symbol wrapper: all non-arch-all packages for this build platform s390x: python-sklearn-lib python3-sklearn-lib dh_gencontrol debug symbol wrapper: packages to act on: python-sklearn-lib python3-sklearn-lib dh_gencontrol debug symbol wrapper: ignored packages: dh_gencontrol debug symbol wrapper: no debian/python-sklearn-lib-dbgsym, skipping package python-sklearn-lib dh_gencontrol debug symbol wrapper: no debian/python3-sklearn-lib-dbgsym, skipping package python3-sklearn-lib dh_md5sums -a -O--buildsystem=python_distutils dh_builddeb -a -O--buildsystem=python_distutils INFO: pkgstriptranslations version 129 INFO: pkgstriptranslations version 129 pkgstriptranslations: processing python-sklearn-lib (in debian/python-sklearn-lib); do_strip: , oemstrip: pkgstriptranslations: processing python3-sklearn-lib (in debian/python3-sklearn-lib); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python-sklearn-lib/DEBIAN/control, package python-sklearn-lib, directory debian/python-sklearn-lib .. removing usr/share/doc/python-sklearn-lib/changelog.gz pkgstripfiles: Truncating usr/share/doc/python-sklearn-lib/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-sklearn-lib ... pkgstripfiles: processing control file: debian/python3-sklearn-lib/DEBIAN/control, package python3-sklearn-lib, directory debian/python3-sklearn-lib pkgstripfiles: No PNG files. dpkg-deb: building package 'python-sklearn-lib' in '../python-sklearn-lib_0.17.1-2_s390x.deb'. .. removing usr/share/doc/python3-sklearn-lib/changelog.gz pkgstripfiles: Truncating usr/share/doc/python3-sklearn-lib/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-sklearn-lib ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-sklearn-lib' in '../python3-sklearn-lib_0.17.1-2_s390x.deb'. dpkg-genchanges -B -mLaunchpad Build Daemon >../scikit-learn_0.17.1-2_s390x.changes dpkg-genchanges: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build scikit-learn-0.17.1 dpkg-buildpackage: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 20160427-0058 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ scikit-learn_0.17.1-2_s390x.changes: ------------------------------------ Format: 1.8 Date: Fri, 08 Apr 2016 09:29:22 -0400 Source: scikit-learn Binary: python-sklearn python-sklearn-lib python3-sklearn python3-sklearn-lib python-sklearn-doc python-scikits-learn Architecture: s390x Version: 0.17.1-2 Distribution: yakkety-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Yaroslav Halchenko Description: python-scikits-learn - transitional compatibility package for scikits.learn -> sklearn m python-sklearn - Python modules for machine learning and data mining python-sklearn-doc - documentation and examples for scikit-learn python-sklearn-lib - low-level implementations and bindings for scikit-learn python3-sklearn - Python modules for machine learning and data mining python3-sklearn-lib - low-level implementations and bindings for scikit-learn - Python Changes: scikit-learn (0.17.1-2) unstable; urgency=medium . * debian/rules - skip test_dump tests on arm64 to prevent FTBFS - actual resolution is TODO - robustify use of xargs to not fail if no matches (e.g. upon rebuild) Checksums-Sha1: d890e933d83554dde656e9ca1c57d2f921ff1066 902700 python-sklearn-lib_0.17.1-2_s390x.deb 2ed9ac53833b078f9833f761af8750cc601fc116 852386 python3-sklearn-lib_0.17.1-2_s390x.deb Checksums-Sha256: 6b026197066482674be111e94ee96f6596b170ccb2a4428c5b644bce4a3007c0 902700 python-sklearn-lib_0.17.1-2_s390x.deb a7d8ac058353d66cf13fcdb9dcc0c83dfa510c54345e80263c8dbbe779b21235 852386 python3-sklearn-lib_0.17.1-2_s390x.deb Files: c5dc15a2c4cf7efc7709e923c79d657d 902700 python optional python-sklearn-lib_0.17.1-2_s390x.deb fc7ea973e0a4a0492ce3dcb97a3b5038 852386 python optional python3-sklearn-lib_0.17.1-2_s390x.deb +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ python-sklearn-lib_0.17.1-2_s390x.deb ------------------------------------- new debian package, version 2.0. size 902700 bytes: control archive=2108 bytes. 781 bytes, 18 lines control 4871 bytes, 44 lines md5sums Package: python-sklearn-lib Source: scikit-learn Version: 0.17.1-2 Architecture: s390x Maintainer: Ubuntu Developers Original-Maintainer: NeuroDebian Team Installed-Size: 5226 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Section: python Priority: optional Homepage: http://scikit-learn.sourceforge.net Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. drwxr-xr-x root/root 0 2016-04-27 00:57 ./ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/ drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/ -rw-r--r-- root/root 10672 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.s390x-linux-gnu.so -rw-r--r-- root/root 71144 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/_isotonic.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/cluster/ -rw-r--r-- root/root 57920 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_dbscan_inner.s390x-linux-gnu.so -rw-r--r-- root/root 181144 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.s390x-linux-gnu.so -rw-r--r-- root/root 120216 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/datasets/ -rw-r--r-- root/root 67568 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/ -rw-r--r-- root/root 63072 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/_online_lda.s390x-linux-gnu.so -rw-r--r-- root/root 133512 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/cdnmf_fast.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/ -rw-r--r-- root/root 175264 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/ -rw-r--r-- root/root 46096 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/ -rw-r--r-- root/root 226168 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.s390x-linux-gnu.so -rw-r--r-- root/root 95240 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sag_fast.s390x-linux-gnu.so -rw-r--r-- root/root 145560 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.s390x-linux-gnu.so drwxr-xr-x root/root 0 2016-04-27 00:57 ./usr/lib/python2.7/dist-packages/sklearn/manifold/ 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Team Installed-Size: 4758 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~) Section: python Priority: optional Homepage: http://scikit-learn.sourceforge.net Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . 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+------------------------------------------------------------------------------+ | Post Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Not removing build depends: as requested Keeping session: +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: s390x Build-Space: 270132 Build-Time: 445 Distribution: yakkety-proposed Host Architecture: s390x Install-Time: 145 Job: scikit-learn_0.17.1-2.dsc Machine Architecture: s390x Package: scikit-learn Package-Time: 592 Source-Version: 0.17.1-2 Space: 270132 Status: successful Version: 0.17.1-2 -------------------------------------------------------------------------------- Finished at 20160427-0058 Build needed 00:09:52, 270132k disc space RUN: /usr/share/launchpad-buildd/slavebin/scan-for-processes ['scan-for-processes', 'PACKAGEBUILD-9647163'] Scanning for processes to kill in build /home/buildd/build-PACKAGEBUILD-9647163/chroot-autobuild... RUN: /usr/share/launchpad-buildd/slavebin/umount-chroot ['umount-chroot', 'PACKAGEBUILD-9647163'] Unmounting chroot for build PACKAGEBUILD-9647163... RUN: /usr/share/launchpad-buildd/slavebin/remove-build ['remove-build', 'PACKAGEBUILD-9647163'] Removing build PACKAGEBUILD-9647163