RUN: /usr/share/launchpad-buildd/slavebin/slave-prep ['slave-prep']
Forking launchpad-buildd slave process...
Kernel version: Linux kishi05 3.2.0-67-highbank #101-Ubuntu SMP PREEMPT Tue Jul 15 18:38:06 UTC 2014 armv7l
Buildd toolchain package versions: launchpad-buildd_125 python-lpbuildd_125 bzr_2.5.1-0ubuntu2 dpkg-dev_1.16.1.2ubuntu7.5.
Syncing the system clock with the buildd NTP service...
24 Dec 08:12:34 ntpdate[22638]: adjust time server 10.211.37.1 offset -0.000524 sec
RUN: /usr/share/launchpad-buildd/slavebin/unpack-chroot ['unpack-chroot', 'PACKAGEBUILD-6670178', '/home/buildd/filecache-default/d07e8cc4ecf4426b85f8dac93ffd1d24d96a58d8']
Unpacking chroot for build PACKAGEBUILD-6670178
RUN: /usr/share/launchpad-buildd/slavebin/mount-chroot ['mount-chroot', 'PACKAGEBUILD-6670178']
Mounting chroot for build PACKAGEBUILD-6670178
RUN: /usr/share/launchpad-buildd/slavebin/override-sources-list ['override-sources-list', 'PACKAGEBUILD-6670178', 'deb http://ftpmaster.internal/ubuntu vivid main universe', 'deb http://ftpmaster.internal/ubuntu vivid-security main universe', 'deb http://ftpmaster.internal/ubuntu vivid-updates main universe', 'deb http://ftpmaster.internal/ubuntu vivid-proposed main universe']
Overriding sources.list in build-PACKAGEBUILD-6670178
RUN: /usr/share/launchpad-buildd/slavebin/update-debian-chroot ['update-debian-chroot', 'PACKAGEBUILD-6670178', 'armhf']
Updating debian chroot for build PACKAGEBUILD-6670178
Ign http://ftpmaster.internal vivid InRelease
Ign http://ftpmaster.internal vivid-security InRelease
Ign http://ftpmaster.internal vivid-updates InRelease
Ign http://ftpmaster.internal vivid-proposed InRelease
Get:1 http://ftpmaster.internal vivid Release.gpg [933 B]
Get:2 http://ftpmaster.internal vivid-security Release.gpg [933 B]
Get:3 http://ftpmaster.internal vivid-updates Release.gpg [933 B]
Get:4 http://ftpmaster.internal vivid-proposed Release.gpg [933 B]
Get:5 http://ftpmaster.internal vivid Release [215 kB]
Ign http://archive-team.internal vivid InRelease
Ign http://archive-team.internal vivid Release.gpg
Get:6 http://archive-team.internal vivid Release [728 B]
Get:7 http://archive-team.internal vivid/main armhf Packages
Get:8 http://ftpmaster.internal vivid-security Release [59.7 kB]
Get:9 http://ftpmaster.internal vivid-updates Release [59.7 kB]
Ign http://archive-team.internal vivid/main Translation-en
Get:10 http://ftpmaster.internal vivid-proposed Release [215 kB]
Get:11 http://ftpmaster.internal vivid/main armhf Packages [1320 kB]
Get:12 http://ftpmaster.internal vivid/universe armhf Packages [6267 kB]
Get:13 http://ftpmaster.internal vivid/main Translation-en [782 kB]
Get:14 http://ftpmaster.internal vivid/universe Translation-en [4439 kB]
Get:15 http://ftpmaster.internal vivid-security/main armhf Packages [14 B]
Get:16 http://ftpmaster.internal vivid-security/universe armhf Packages [14 B]
Get:17 http://ftpmaster.internal vivid-security/main Translation-en [14 B]
Get:18 http://ftpmaster.internal vivid-security/universe Translation-en [14 B]
Get:19 http://ftpmaster.internal vivid-updates/main armhf Packages [14 B]
Get:20 http://ftpmaster.internal vivid-updates/universe armhf Packages [14 B]
Get:21 http://ftpmaster.internal vivid-updates/main Translation-en [14 B]
Get:22 http://ftpmaster.internal vivid-updates/universe Translation-en [14 B]
Get:23 http://ftpmaster.internal vivid-proposed/main armhf Packages [13.6 kB]
Get:24 http://ftpmaster.internal vivid-proposed/universe armhf Packages [94.4 kB]
Get:25 http://ftpmaster.internal vivid-proposed/main Translation-en [8955 B]
Get:26 http://ftpmaster.internal vivid-proposed/universe Translation-en [61.7 kB]
Fetched 13.5 MB in 16s (799 kB/s)
Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
  libgcrypt11 libisl10 libsystemd-journal0
Use 'apt-get autoremove' to remove them.
The following NEW packages will be installed:
  libisl13 libsystemd0
The following packages will be upgraded:
  apt apt-transport-https base-files base-passwd bash binutils bsdutils
  busybox-initramfs bzip2 ca-certificates coreutils cpp cpp-4.9 dpkg dpkg-dev
  e2fslibs e2fsprogs fakeroot findutils g++ g++-4.9 gcc gcc-4.9 gcc-4.9-base
  gnupg gpgv grep gzip init-system-helpers initscripts libacl1 libapt-pkg4.12
  libasan1 libasn1-8-heimdal libatomic1 libblkid1 libbz2-1.0 libc-bin
  libc-dev-bin libc6 libc6-dev libcap2 libcgmanager0 libcloog-isl4 libcomerr2
  libcurl3-gnutls libdb5.3 libdbus-1-3 libdebconfclient0 libdpkg-perl libdrm2
  libfakeroot libgcc-4.9-dev libgcc1 libgcrypt20 libgdbm3 libgmp10
  libgnutls-deb0-28 libgomp1 libgpg-error0 libgssapi-krb5-2 libgssapi3-heimdal
  libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhogweed2
  libhx509-5-heimdal libk5crypto3 libkrb5-26-heimdal libkrb5-3 libkrb5support0
  libmount1 libmpc3 libmpfr4 libnettle4 libnih-dbus1 libnih1 libp11-kit0
  libpam-modules libpam-modules-bin libpam-runtime libpam0g libpcre3
  libplymouth4 libprocps3 libroken18-heimdal librtmp1 libsasl2-2
  libsasl2-modules-db libselinux1 libsemanage-common libsemanage1 libslang2
  libsmartcols1 libsqlite3-0 libss2 libstdc++-4.9-dev libstdc++6
  libsystemd-journal0 libtasn1-6 libubsan0 libudev1 libusb-0.1-4 libuuid1
  libwind0-heimdal linux-libc-dev login mount mountall multiarch-support
  passwd patch perl perl-base perl-modules plymouth procps sysv-rc
  sysvinit-utils tzdata udev upstart upstart-bin util-linux zlib1g
125 upgraded, 2 newly installed, 0 to remove and 0 not upgraded.
Need to get 54.0 MB of archives.
After this operation, 2754 kB of additional disk space will be used.
Get:1 http://ftpmaster.internal/ubuntu/ vivid/main base-files armhf 7.2ubuntu8 [66.6 kB]
Get:2 http://ftpmaster.internal/ubuntu/ vivid/main bash armhf 4.3-11ubuntu2 [506 kB]
Get:3 http://ftpmaster.internal/ubuntu/ vivid/main libsystemd0 armhf 218-2ubuntu3 [64.5 kB]
Get:4 http://ftpmaster.internal/ubuntu/ vivid/main bsdutils armhf 1:2.25.2-4ubuntu1 [43.5 kB]
Get:5 http://ftpmaster.internal/ubuntu/ vivid/main coreutils armhf 8.23-3ubuntu1 [1043 kB]
Get:6 http://ftpmaster.internal/ubuntu/ vivid/main dpkg armhf 1.17.21ubuntu2 [1998 kB]
Get:7 http://ftpmaster.internal/ubuntu/ vivid/main libcap2 armhf 1:2.24-6 [11.7 kB]
Get:8 http://ftpmaster.internal/ubuntu/ vivid/main libc-bin armhf 2.19-13ubuntu3 [994 kB]
Get:9 http://ftpmaster.internal/ubuntu/ vivid/main libdbus-1-3 armhf 1.8.12-1ubuntu1 [127 kB]
Get:10 http://ftpmaster.internal/ubuntu/ vivid/main libcgmanager0 armhf 0.33-2 [36.8 kB]
Get:11 http://ftpmaster.internal/ubuntu/ vivid/main libnih-dbus1 armhf 1.0.3-4ubuntu27 [13.6 kB]
Get:12 http://ftpmaster.internal/ubuntu/ vivid/main libnih1 armhf 1.0.3-4ubuntu27 [45.4 kB]
Get:13 http://ftpmaster.internal/ubuntu/ vivid/main libpcre3 armhf 2:8.35-3.3ubuntu1 [204 kB]
Get:14 http://ftpmaster.internal/ubuntu/ vivid/main libselinux1 armhf 2.3-2 [51.9 kB]
Get:15 http://ftpmaster.internal/ubuntu/ vivid/main sysvinit-utils armhf 2.88dsf-53.2ubuntu3 [39.0 kB]
Get:16 http://ftpmaster.internal/ubuntu/ vivid/main plymouth armhf 0.9.0-0ubuntu8 [88.6 kB]
Get:17 http://ftpmaster.internal/ubuntu/ vivid/main udev armhf 218-2ubuntu3 [875 kB]
Get:18 http://ftpmaster.internal/ubuntu/ vivid/main libudev1 armhf 218-2ubuntu3 [30.0 kB]
Get:19 http://ftpmaster.internal/ubuntu/ vivid/main libacl1 armhf 2.2.52-2 [13.7 kB]
Get:20 http://ftpmaster.internal/ubuntu/ vivid/main libpam0g armhf 1.1.8-3.1ubuntu2 [52.6 kB]
Get:21 http://ftpmaster.internal/ubuntu/ vivid/main libsemanage-common all 2.3-1build1 [6302 B]
Get:22 http://ftpmaster.internal/ubuntu/ vivid/main libsemanage1 armhf 2.3-1build1 [61.5 kB]
Get:23 http://ftpmaster.internal/ubuntu/ vivid/main bzip2 armhf 1.0.6-7 [31.1 kB]
Get:24 http://ftpmaster.internal/ubuntu/ vivid/main libbz2-1.0 armhf 1.0.6-7 [30.5 kB]
Get:25 http://ftpmaster.internal/ubuntu/ vivid/main libpam-modules-bin armhf 1.1.8-3.1ubuntu2 [32.9 kB]
Get:26 http://ftpmaster.internal/ubuntu/ vivid/main libpam-modules armhf 1.1.8-3.1ubuntu2 [228 kB]
Get:27 http://ftpmaster.internal/ubuntu/ vivid/main passwd armhf 1:4.1.5.1-1.1ubuntu3 [723 kB]
Get:28 http://ftpmaster.internal/ubuntu/ vivid/main libuuid1 armhf 2.25.2-4ubuntu1 [15.1 kB]
Get:29 http://ftpmaster.internal/ubuntu/ vivid/main libblkid1 armhf 2.25.2-4ubuntu1 [93.5 kB]
Get:30 http://ftpmaster.internal/ubuntu/ vivid/main tzdata all 2014j-1 [181 kB]
Get:31 http://ftpmaster.internal/ubuntu/ vivid/main libplymouth4 armhf 0.9.0-0ubuntu8 [73.8 kB]
Get:32 http://ftpmaster.internal/ubuntu/ vivid/main mountall armhf 2.54ubuntu1 [57.1 kB]
Get:33 http://ftpmaster.internal/ubuntu/ vivid/main sysv-rc all 2.88dsf-53.2ubuntu3 [36.5 kB]
Get:34 http://ftpmaster.internal/ubuntu/ vivid/main initscripts armhf 2.88dsf-53.2ubuntu3 [27.6 kB]
Get:35 http://ftpmaster.internal/ubuntu/ vivid/main util-linux armhf 2.25.2-4ubuntu1 [750 kB]
Get:36 http://ftpmaster.internal/ubuntu/ vivid/main libprocps3 armhf 1:3.3.9-1ubuntu6 [29.2 kB]
Get:37 http://ftpmaster.internal/ubuntu/ vivid/main procps armhf 1:3.3.9-1ubuntu6 [201 kB]
Get:38 http://ftpmaster.internal/ubuntu/ vivid/main perl armhf 5.20.1-4 [2070 kB]
Get:39 http://ftpmaster.internal/ubuntu/ vivid/main perl-base armhf 5.20.1-4 [1125 kB]
Get:40 http://ftpmaster.internal/ubuntu/ vivid/main perl-modules all 5.20.1-4 [2499 kB]
Get:41 http://ftpmaster.internal/ubuntu/ vivid/main libdb5.3 armhf 5.3.28-7 [594 kB]
Get:42 http://ftpmaster.internal/ubuntu/ vivid/main libgdbm3 armhf 1.8.3-13.1 [15.3 kB]
Get:43 http://ftpmaster.internal/ubuntu/ vivid/main zlib1g armhf 1:1.2.8.dfsg-2ubuntu1 [46.9 kB]
Get:44 http://ftpmaster.internal/ubuntu/ vivid/main init-system-helpers all 1.22ubuntu1 [13.1 kB]
Get:45 http://ftpmaster.internal/ubuntu/ vivid/main libdrm2 armhf 2.4.58-2 [20.9 kB]
Get:46 http://ftpmaster.internal/ubuntu/ vivid/main upstart armhf 1.13.2-0ubuntu5 [115 kB]
Get:47 http://ftpmaster.internal/ubuntu/ vivid/main upstart-bin armhf 1.13.2-0ubuntu5 [322 kB]
Get:48 http://ftpmaster.internal/ubuntu/ vivid/main libc6-dev armhf 2.19-13ubuntu3 [1581 kB]
Get:49 http://ftpmaster.internal/ubuntu/ vivid/main libc-dev-bin armhf 2.19-13ubuntu3 [59.1 kB]
Get:50 http://ftpmaster.internal/ubuntu/ vivid/main linux-libc-dev armhf 3.16.0-28.38 [756 kB]
Get:51 http://ftpmaster.internal/ubuntu/ vivid/main libgomp1 armhf 4.9.2-7ubuntu3 [36.9 kB]
Get:52 http://ftpmaster.internal/ubuntu/ vivid/main libasan1 armhf 4.9.2-7ubuntu3 [174 kB]
Get:53 http://ftpmaster.internal/ubuntu/ vivid/main libubsan0 armhf 4.9.2-7ubuntu3 [72.1 kB]
Get:54 http://ftpmaster.internal/ubuntu/ vivid/main gcc-4.9-base armhf 4.9.2-7ubuntu3 [16.2 kB]
Get:55 http://ftpmaster.internal/ubuntu/ vivid/main libgcc1 armhf 1:4.9.2-7ubuntu3 [39.9 kB]
Get:56 http://ftpmaster.internal/ubuntu/ vivid/main libatomic1 armhf 4.9.2-7ubuntu3 [6374 B]
Get:57 http://ftpmaster.internal/ubuntu/ vivid/main libgcc-4.9-dev armhf 4.9.2-7ubuntu3 [370 kB]
Get:58 http://ftpmaster.internal/ubuntu/ vivid/main libisl13 armhf 0.14-1 [356 kB]
Get:59 http://ftpmaster.internal/ubuntu/ vivid/main cpp-4.9 armhf 4.9.2-7ubuntu3 [4257 kB]
Get:60 http://ftpmaster.internal/ubuntu/ vivid/main binutils armhf 2.24.90.20141219-1ubuntu1 [2266 kB]
Get:61 http://ftpmaster.internal/ubuntu/ vivid/main gcc-4.9 armhf 4.9.2-7ubuntu3 [4755 kB]
Get:62 http://ftpmaster.internal/ubuntu/ vivid/main g++-4.9 armhf 4.9.2-7ubuntu3 [8670 kB]
Get:63 http://ftpmaster.internal/ubuntu/ vivid/main libstdc++-4.9-dev armhf 4.9.2-7ubuntu3 [1144 kB]
Get:64 http://ftpmaster.internal/ubuntu/ vivid/main libstdc++6 armhf 4.9.2-7ubuntu3 [249 kB]
Get:65 http://ftpmaster.internal/ubuntu/ vivid/main libgmp10 armhf 2:6.0.0+dfsg-6 [195 kB]
Get:66 http://ftpmaster.internal/ubuntu/ vivid/main libcloog-isl4 armhf 0.18.2-3 [49.7 kB]
Get:67 http://ftpmaster.internal/ubuntu/ vivid/main libmpfr4 armhf 3.1.2-2 [164 kB]
Get:68 http://ftpmaster.internal/ubuntu/ vivid/main libmpc3 armhf 1.0.2-2 [32.5 kB]
Get:69 http://ftpmaster.internal/ubuntu/ vivid/main libc6 armhf 2.19-13ubuntu3 [3918 kB]
Get:70 http://ftpmaster.internal/ubuntu/ vivid/main e2fslibs armhf 1.42.12-1ubuntu1 [178 kB]
Get:71 http://ftpmaster.internal/ubuntu/ vivid/main e2fsprogs armhf 1.42.12-1ubuntu1 [740 kB]
Get:72 http://ftpmaster.internal/ubuntu/ vivid/main findutils armhf 4.4.2-9build1 [223 kB]
Get:73 http://ftpmaster.internal/ubuntu/ vivid/main grep armhf 2.20-4 [135 kB]
Get:74 http://ftpmaster.internal/ubuntu/ vivid/main gzip armhf 1.6-4ubuntu1 [80.3 kB]
Get:75 http://ftpmaster.internal/ubuntu/ vivid/main login armhf 1:4.1.5.1-1.1ubuntu3 [298 kB]
Get:76 http://ftpmaster.internal/ubuntu/ vivid/main mount armhf 2.25.2-4ubuntu1 [113 kB]
Get:77 http://ftpmaster.internal/ubuntu/ vivid/main libapt-pkg4.12 armhf 1.0.9.3ubuntu1 [617 kB]
Get:78 http://ftpmaster.internal/ubuntu/ vivid/main gpgv armhf 1.4.18-4ubuntu1 [135 kB]
Get:79 http://ftpmaster.internal/ubuntu/ vivid/main libusb-0.1-4 armhf 2:0.1.12-25 [15.0 kB]
Get:80 http://ftpmaster.internal/ubuntu/ vivid/main gnupg armhf 1.4.18-4ubuntu1 [555 kB]
Get:81 http://ftpmaster.internal/ubuntu/ vivid/main apt armhf 1.0.9.3ubuntu1 [966 kB]
Get:82 http://ftpmaster.internal/ubuntu/ vivid/main libdebconfclient0 armhf 0.192ubuntu1 [5882 B]
Get:83 http://ftpmaster.internal/ubuntu/ vivid/main base-passwd armhf 3.5.37 [54.9 kB]
Get:84 http://ftpmaster.internal/ubuntu/ vivid/main libcomerr2 armhf 1.42.12-1ubuntu1 [64.4 kB]
Get:85 http://ftpmaster.internal/ubuntu/ vivid/main libgpg-error0 armhf 1.17-3 [28.3 kB]
Get:86 http://ftpmaster.internal/ubuntu/ vivid/main libgcrypt20 armhf 1.6.2-4ubuntu1 [298 kB]
Get:87 http://ftpmaster.internal/ubuntu/ vivid/main libmount1 armhf 2.25.2-4ubuntu1 [99.7 kB]
Get:88 http://ftpmaster.internal/ubuntu/ vivid/main libslang2 armhf 2.3.0-2ubuntu1 [375 kB]
Get:89 http://ftpmaster.internal/ubuntu/ vivid/main libsmartcols1 armhf 2.25.2-4ubuntu1 [53.9 kB]
Get:90 http://ftpmaster.internal/ubuntu/ vivid/main libss2 armhf 1.42.12-1ubuntu1 [67.9 kB]
Get:91 http://ftpmaster.internal/ubuntu/ vivid/main libsystemd-journal0 armhf 218-2ubuntu3 [52.7 kB]
Get:92 http://ftpmaster.internal/ubuntu/ vivid/main libnettle4 armhf 2.7.1-4 [114 kB]
Get:93 http://ftpmaster.internal/ubuntu/ vivid/main libhogweed2 armhf 2.7.1-4 [117 kB]
Get:94 http://ftpmaster.internal/ubuntu/ vivid/main libp11-kit0 armhf 0.20.7-1 [66.2 kB]
Get:95 http://ftpmaster.internal/ubuntu/ vivid/main libtasn1-6 armhf 4.2-2 [36.5 kB]
Get:96 http://ftpmaster.internal/ubuntu/ vivid/main libgnutls-deb0-28 armhf 3.3.8-3ubuntu2 [458 kB]
Get:97 http://ftpmaster.internal/ubuntu/ vivid/main libsqlite3-0 armhf 3.8.7.2-1 [316 kB]
Get:98 http://ftpmaster.internal/ubuntu/ vivid/main libroken18-heimdal armhf 1.6~rc2+dfsg-8build1 [34.4 kB]
Get:99 http://ftpmaster.internal/ubuntu/ vivid/main libasn1-8-heimdal armhf 1.6~rc2+dfsg-8build1 [144 kB]
Get:100 http://ftpmaster.internal/ubuntu/ vivid/main libgssapi-krb5-2 armhf 1.12.1+dfsg-16 [99.2 kB]
Get:101 http://ftpmaster.internal/ubuntu/ vivid/main libkrb5-3 armhf 1.12.1+dfsg-16 [228 kB]
Get:102 http://ftpmaster.internal/ubuntu/ vivid/main libkrb5support0 armhf 1.12.1+dfsg-16 [26.6 kB]
Get:103 http://ftpmaster.internal/ubuntu/ vivid/main libk5crypto3 armhf 1.12.1+dfsg-16 [79.4 kB]
Get:104 http://ftpmaster.internal/ubuntu/ vivid/main librtmp1 armhf 2.4+20131018.git79459a2-5 [50.1 kB]
Get:105 http://ftpmaster.internal/ubuntu/ vivid/main libcurl3-gnutls armhf 7.38.0-3ubuntu1 [150 kB]
Get:106 http://ftpmaster.internal/ubuntu/ vivid/main libhcrypto4-heimdal armhf 1.6~rc2+dfsg-8build1 [76.5 kB]
Get:107 http://ftpmaster.internal/ubuntu/ vivid/main libheimbase1-heimdal armhf 1.6~rc2+dfsg-8build1 [24.6 kB]
Get:108 http://ftpmaster.internal/ubuntu/ vivid/main libwind0-heimdal armhf 1.6~rc2+dfsg-8build1 [47.3 kB]
Get:109 http://ftpmaster.internal/ubuntu/ vivid/main libhx509-5-heimdal armhf 1.6~rc2+dfsg-8build1 [88.8 kB]
Get:110 http://ftpmaster.internal/ubuntu/ vivid/main libkrb5-26-heimdal armhf 1.6~rc2+dfsg-8build1 [167 kB]
Get:111 http://ftpmaster.internal/ubuntu/ vivid/main libheimntlm0-heimdal armhf 1.6~rc2+dfsg-8build1 [13.7 kB]
Get:112 http://ftpmaster.internal/ubuntu/ vivid/main libgssapi3-heimdal armhf 1.6~rc2+dfsg-8build1 [78.0 kB]
Get:113 http://ftpmaster.internal/ubuntu/ vivid/main libsasl2-modules-db armhf 2.1.26.dfsg1-12 [13.0 kB]
Get:114 http://ftpmaster.internal/ubuntu/ vivid/main libsasl2-2 armhf 2.1.26.dfsg1-12 [42.7 kB]
Get:115 http://ftpmaster.internal/ubuntu/ vivid/main libpam-runtime all 1.1.8-3.1ubuntu2 [39.8 kB]
Get:116 http://ftpmaster.internal/ubuntu/ vivid/main multiarch-support armhf 2.19-13ubuntu3 [7284 B]
Get:117 http://ftpmaster.internal/ubuntu/ vivid/main busybox-initramfs armhf 1:1.22.0-9ubuntu1 [163 kB]
Get:118 http://ftpmaster.internal/ubuntu/ vivid/main apt-transport-https armhf 1.0.9.3ubuntu1 [24.5 kB]
Get:119 http://ftpmaster.internal/ubuntu/ vivid/main ca-certificates all 20141019 [192 kB]
Get:120 http://ftpmaster.internal/ubuntu/ vivid/main cpp armhf 4:4.9.2-1ubuntu1 [27.4 kB]
Get:121 http://ftpmaster.internal/ubuntu/ vivid/main dpkg-dev all 1.17.21ubuntu2 [734 kB]
Get:122 http://ftpmaster.internal/ubuntu/ vivid/main libdpkg-perl all 1.17.21ubuntu2 [189 kB]
Get:123 http://ftpmaster.internal/ubuntu/ vivid/main patch armhf 2.7.1-6 [78.8 kB]
Get:124 http://ftpmaster.internal/ubuntu/ vivid/main libfakeroot armhf 1.20.2-1ubuntu1 [21.7 kB]
Get:125 http://ftpmaster.internal/ubuntu/ vivid/main fakeroot armhf 1.20.2-1ubuntu1 [61.1 kB]
Get:126 http://ftpmaster.internal/ubuntu/ vivid/main gcc armhf 4:4.9.2-1ubuntu1 [5262 B]
Get:127 http://ftpmaster.internal/ubuntu/ vivid/main g++ armhf 4:4.9.2-1ubuntu1 [1610 B]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 54.0 MB in 9s (5701 kB/s)
(Reading database ... 11279 files and directories currently installed.)
Preparing to unpack .../base-files_7.2ubuntu8_armhf.deb ...
Unpacking base-files (7.2ubuntu8) over (7.2ubuntu7) ...
Setting up base-files (7.2ubuntu8) ...
Installing new version of config file /etc/issue ...
Installing new version of config file /etc/issue.net ...
Installing new version of config file /etc/lsb-release ...
Installing new version of config file /etc/os-release ...
(Reading database ... 11279 files and directories currently installed.)
Preparing to unpack .../bash_4.3-11ubuntu2_armhf.deb ...
Unpacking bash (4.3-11ubuntu2) over (4.3-11ubuntu1) ...
Setting up bash (4.3-11ubuntu2) ...
Installing new version of config file /etc/bash.bashrc ...
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
Selecting previously unselected package libsystemd0:armhf.
(Reading database ... 11279 files and directories currently installed.)
Preparing to unpack .../libsystemd0_218-2ubuntu3_armhf.deb ...
Unpacking libsystemd0:armhf (218-2ubuntu3) ...
Setting up libsystemd0:armhf (218-2ubuntu3) ...
Processing triggers for libc-bin (2.19-10ubuntu2) ...
(Reading database ... 11284 files and directories currently installed.)
Preparing to unpack .../bsdutils_1%3a2.25.2-4ubuntu1_armhf.deb ...
Unpacking bsdutils (1:2.25.2-4ubuntu1) over (1:2.25.1-3ubuntu4) ...
Setting up bsdutils (1:2.25.2-4ubuntu1) ...
(Reading database ... 11284 files and directories currently installed.)
Preparing to unpack .../coreutils_8.23-3ubuntu1_armhf.deb ...
Unpacking coreutils (8.23-3ubuntu1) over (8.23-2ubuntu3) ...
Setting up coreutils (8.23-3ubuntu1) ...
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Unpacking dpkg (1.17.21ubuntu2) over (1.17.13ubuntu1) ...
Setting up dpkg (1.17.21ubuntu2) ...
(Reading database ... 11285 files and directories currently installed.)
Preparing to unpack .../libcap2_1%3a2.24-6_armhf.deb ...
Unpacking libcap2:armhf (1:2.24-6) over (1:2.24-0ubuntu2) ...
Setting up libcap2:armhf (1:2.24-6) ...
Processing triggers for libc-bin (2.19-10ubuntu2) ...
(Reading database ... 11285 files and directories currently installed.)
Preparing to unpack .../libc-bin_2.19-13ubuntu3_armhf.deb ...
Unpacking libc-bin (2.19-13ubuntu3) over (2.19-10ubuntu2) ...
Setting up libc-bin (2.19-13ubuntu3) ...
(Reading database ... 11284 files and directories currently installed.)
Preparing to unpack .../libdbus-1-3_1.8.12-1ubuntu1_armhf.deb ...
Unpacking libdbus-1-3:armhf (1.8.12-1ubuntu1) over (1.8.8-1ubuntu2) ...
Preparing to unpack .../libcgmanager0_0.33-2_armhf.deb ...
Unpacking libcgmanager0:armhf (0.33-2) over (0.32-4ubuntu1) ...
Preparing to unpack .../libnih-dbus1_1.0.3-4ubuntu27_armhf.deb ...
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Current default time zone: 'Etc/UTC'
Local time is now:      Wed Dec 24 08:13:54 UTC 2014.
Universal Time is now:  Wed Dec 24 08:13:54 UTC 2014.
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update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
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Updating certificates in /etc/ssl/certs... 10 added, 5 removed; done.
Running hooks in /etc/ca-certificates/update.d....done.
RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package ['sbuild-package', 'PACKAGEBUILD-6670178', 'armhf', 'vivid-proposed', '--nolog', '--batch', '--archive=ubuntu', '--dist=vivid-proposed', '--purpose=PRIMARY', '--architecture=armhf', '--comp=universe', 'scikit-learn_0.15.2-3ubuntu1.dsc']
Initiating build PACKAGEBUILD-6670178 with 4 jobs across 4 processor cores.
Kernel reported to sbuild: 3.2.0-67-highbank #101-Ubuntu SMP PREEMPT Tue Jul 15 18:38:06 UTC 2014 armv7l
Automatic build of scikit-learn_0.15.2-3ubuntu1 on kishi05 by sbuild/armhf 1.170.5
Build started at 20141224-0816
******************************************************************************
scikit-learn_0.15.2-3ubuntu1.dsc exists in cwd
** Using build dependencies supplied by package:
Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.5), cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, libsvm-dev (>= 2.84.0), python-nose, python-matplotlib, python-joblib (>= 0.4.5), python-support, libatlas3-base
Build-Depends-Indep: python-sphinx (>= 1.0), python-imaging, graphviz
Checking for already installed source dependencies...
debhelper: missing
dh-autoreconf: missing
python-all-dev: missing
cython: missing
python-setuptools: missing
python-numpy: missing
python-scipy: missing
libsvm-dev: missing
python-nose: missing
python-matplotlib: missing
python-joblib: missing
python-support: missing
libatlas3-base: missing
Checking for source dependency conflicts...
  /usr/bin/sudo /usr/bin/apt-get --purge $CHROOT_OPTIONS -q -y install debhelper dh-autoreconf python-all-dev cython python-setuptools python-numpy python-scipy libsvm-dev python-nose python-matplotlib python-joblib python-support libatlas3-base
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
  libgcrypt11 libisl10 libsystemd-journal0
Use 'apt-get autoremove' to remove them.
The following extra packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils dh-apparmor file
  fontconfig fontconfig-config fonts-dejavu-core fonts-lyx gettext
  gettext-base groff-base intltool-debian libasprintf0c2 libatk1.0-0
  libatk1.0-data libavahi-client3 libavahi-common-data libavahi-common3
  libblas-common libcairo2 libcroco3 libcups2 libdatrie1 libexpat1
  libexpat1-dev libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0
  libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0 libgraphite2-3 libgtk2.0-0
  libgtk2.0-common libharfbuzz0b libjasper1 libjbig0 libjpeg-turbo8 libjpeg8
  libjs-jquery libjs-jquery-ui libmagic1 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 libsigsegv2 libsvm3 libtcl8.6 libthai-data libthai0
  libtiff5 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-dateutil python-decorator python-dev python-matplotlib-data
  python-minimal python-mock python-pkg-resources python-pyparsing python-six
  python-tz python2.7 python2.7-dev python2.7-minimal shared-mime-info ucf
  x11-common
Suggested packages:
  autoconf-archive gnu-standards autoconf-doc wamerican wordlist whois
  vacation dh-make apparmor-easyprof gettext-doc groff liblapack3 cups-common
  librsvg2-common gvfs libjasper-runtime javascript-common
  libjs-jquery-ui-docs tcl8.6 tk8.6 libtool-doc automaken gfortran
  fortran95-compiler gcj-jdk less www-browser libmail-box-perl python-doc
  python-tk dvipng 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-mock-doc python-coverage python-nose-doc
  python-numpy-dbg python-numpy-doc python-distribute python-distribute-doc
  python2.7-doc binfmt-support
Recommended packages:
  curl wget lynx-cur libasprintf-dev libgettextpo-dev libglib2.0-data
  xdg-user-dirs hicolor-icon-theme libgtk2.0-bin libltdl-dev xml-core
  libmail-sendmail-perl python-simplejson python-glade2 python-imaging
The following NEW packages will be installed:
  autoconf automake autopoint autotools-dev bsdmainutils cython debhelper
  dh-apparmor dh-autoreconf file fontconfig fontconfig-config
  fonts-dejavu-core fonts-lyx gettext gettext-base groff-base intltool-debian
  libasprintf0c2 libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3
  libavahi-common-data libavahi-common3 libblas-common libcairo2 libcroco3
  libcups2 libdatrie1 libexpat1 libexpat1-dev libfontconfig1 libfreetype6
  libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3 libglib2.0-0
  libgraphite2-3 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libjasper1
  libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui libmagic1
  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 libsigsegv2
  libsvm-dev libsvm3 libtcl8.6 libthai-data libthai0 libtiff5 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-dateutil
  python-decorator python-dev python-joblib python-matplotlib
  python-matplotlib-data python-minimal python-mock python-nose python-numpy
  python-pkg-resources python-pyparsing python-scipy python-setuptools
  python-six python-support python-tz python2.7 python2.7-dev
  python2.7-minimal shared-mime-info ucf x11-common
0 upgraded, 120 newly installed, 0 to remove and 0 not upgraded.
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Get:2 http://ftpmaster.internal/ubuntu/ vivid/main libmagic1 armhf 1:5.20-1ubuntu1 [203 kB]
Get:3 http://ftpmaster.internal/ubuntu/ vivid/main libasprintf0c2 armhf 0.19.2-2ubuntu1 [6084 B]
Get:4 http://ftpmaster.internal/ubuntu/ vivid/main libglib2.0-0 armhf 2.43.2-1ubuntu1 [962 kB]
Get:5 http://ftpmaster.internal/ubuntu/ vivid/main libpipeline1 armhf 1.4.0-1 [21.6 kB]
Get:6 http://ftpmaster.internal/ubuntu/ vivid/main libxau6 armhf 1:1.0.8-1 [7324 B]
Get:7 http://ftpmaster.internal/ubuntu/ vivid/main libxdmcp6 armhf 1:1.1.1-1build1 [9700 B]
Get:8 http://ftpmaster.internal/ubuntu/ vivid/main libxcb1 armhf 1.10-2ubuntu1 [33.1 kB]
Get:9 http://ftpmaster.internal/ubuntu/ vivid/main libx11-data all 2:1.6.2-2ubuntu2 [112 kB]
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Get:11 http://ftpmaster.internal/ubuntu/ vivid/main libxext6 armhf 2:1.3.3-1 [25.1 kB]
Get:12 http://ftpmaster.internal/ubuntu/ vivid/main libxml2 armhf 2.9.2+dfsg1-1 [624 kB]
Get:13 http://ftpmaster.internal/ubuntu/ vivid/main groff-base armhf 1.22.3-1 [1051 kB]
Get:14 http://ftpmaster.internal/ubuntu/ vivid/main bsdmainutils armhf 9.0.6ubuntu1 [169 kB]
Get:15 http://ftpmaster.internal/ubuntu/ vivid/main man-db armhf 2.7.0.2-4 [838 kB]
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Get:18 http://ftpmaster.internal/ubuntu/ vivid/main fontconfig-config all 2.11.1-0ubuntu5 [48.8 kB]
Get:19 http://ftpmaster.internal/ubuntu/ vivid/main libfreetype6 armhf 2.5.2-2ubuntu1 [267 kB]
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Get:24 http://ftpmaster.internal/ubuntu/ vivid/main libavahi-common-data armhf 0.6.31-4ubuntu4 [21.0 kB]
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Get:27 http://ftpmaster.internal/ubuntu/ vivid/main libpixman-1-0 armhf 0.32.4-1ubuntu1 [160 kB]
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Get:31 http://ftpmaster.internal/ubuntu/ vivid/main libcairo2 armhf 1.13.0~20140204-0ubuntu1 [465 kB]
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Get:34 http://ftpmaster.internal/ubuntu/ vivid/main libdatrie1 armhf 0.2.8-1 [13.4 kB]
Get:35 http://ftpmaster.internal/ubuntu/ vivid/main libjpeg-turbo8 armhf 1.3.0-0ubuntu2 [85.2 kB]
Get:36 http://ftpmaster.internal/ubuntu/ vivid/main libjpeg8 armhf 8c-2ubuntu8 [2202 B]
Get:37 http://ftpmaster.internal/ubuntu/ vivid/main libjasper1 armhf 1.900.1-debian1-2.3 [110 kB]
Get:38 http://ftpmaster.internal/ubuntu/ vivid/main libjbig0 armhf 2.1-3.1 [24.3 kB]
Get:39 http://ftpmaster.internal/ubuntu/ vivid/main libtiff5 armhf 4.0.3-11 [130 kB]
Get:40 http://ftpmaster.internal/ubuntu/ vivid/main libgdk-pixbuf2.0-common all 2.31.1-2 [9032 B]
Get:41 http://ftpmaster.internal/ubuntu/ vivid/main libgdk-pixbuf2.0-0 armhf 2.31.1-2 [145 kB]
Get:42 http://ftpmaster.internal/ubuntu/ vivid/main libgfortran3 armhf 4.9.2-7ubuntu3 [164 kB]
Get:43 http://ftpmaster.internal/ubuntu/ vivid/main libgraphite2-3 armhf 1.2.4-3ubuntu1 [44.1 kB]
Get:44 http://ftpmaster.internal/ubuntu/ vivid/main libgtk2.0-common all 2.24.25-0ubuntu1 [121 kB]
Get:45 http://ftpmaster.internal/ubuntu/ vivid/main libthai-data all 0.1.21-1 [131 kB]
Get:46 http://ftpmaster.internal/ubuntu/ vivid/main libthai0 armhf 0.1.21-1 [14.4 kB]
Get:47 http://ftpmaster.internal/ubuntu/ vivid/main libpango-1.0-0 armhf 1.36.8-3 [136 kB]
Get:48 http://ftpmaster.internal/ubuntu/ vivid/main libharfbuzz0b armhf 0.9.35-2 [115 kB]
Get:49 http://ftpmaster.internal/ubuntu/ vivid/main libpangoft2-1.0-0 armhf 1.36.8-3 [28.1 kB]
Get:50 http://ftpmaster.internal/ubuntu/ vivid/main libpangocairo-1.0-0 armhf 1.36.8-3 [17.6 kB]
Get:51 http://ftpmaster.internal/ubuntu/ vivid/main libxcomposite1 armhf 1:0.4.4-1 [7080 B]
Get:52 http://ftpmaster.internal/ubuntu/ vivid/main libxfixes3 armhf 1:5.0.1-2 [9820 B]
Get:53 http://ftpmaster.internal/ubuntu/ vivid/main libxcursor1 armhf 1:1.1.14-1 [18.8 kB]
Get:54 http://ftpmaster.internal/ubuntu/ vivid/main libxdamage1 armhf 1:1.1.4-2 [6490 B]
Get:55 http://ftpmaster.internal/ubuntu/ vivid/main libxi6 armhf 2:1.7.4-1 [23.8 kB]
Get:56 http://ftpmaster.internal/ubuntu/ vivid/main libxinerama1 armhf 2:1.1.3-1 [7278 B]
Get:57 http://ftpmaster.internal/ubuntu/ vivid/main libxrandr2 armhf 2:1.4.2-1 [13.8 kB]
Get:58 http://ftpmaster.internal/ubuntu/ vivid/main shared-mime-info armhf 1.3-1 [386 kB]
Get:59 http://ftpmaster.internal/ubuntu/ vivid/main libgtk2.0-0 armhf 2.24.25-0ubuntu1 [1534 kB]
Get:60 http://ftpmaster.internal/ubuntu/ vivid/main libpython2.7-minimal armhf 2.7.9-1 [335 kB]
Get:61 http://ftpmaster.internal/ubuntu/ vivid/main mime-support all 3.57ubuntu1 [31.4 kB]
Get:62 http://ftpmaster.internal/ubuntu/ vivid/main libpython2.7-stdlib armhf 2.7.9-1 [1803 kB]
Get:63 http://ftpmaster.internal/ubuntu/ vivid/main libpython2.7 armhf 2.7.9-1 [958 kB]
Get:64 http://ftpmaster.internal/ubuntu/ vivid/main libexpat1-dev armhf 2.1.0-6ubuntu1 [104 kB]
Get:65 http://ftpmaster.internal/ubuntu/ vivid/main libpython2.7-dev armhf 2.7.9-1 [31.6 MB]
Get:66 http://ftpmaster.internal/ubuntu/ vivid/main libsigsegv2 armhf 2.10-4 [13.3 kB]
Get:67 http://ftpmaster.internal/ubuntu/ vivid/main libtcl8.6 armhf 8.6.1-6ubuntu1 [739 kB]
Get:68 http://ftpmaster.internal/ubuntu/ vivid/main libxft2 armhf 2.3.2-1 [30.5 kB]
Get:69 http://ftpmaster.internal/ubuntu/ vivid/main x11-common all 1:7.7+7ubuntu2 [62.5 kB]
Get:70 http://ftpmaster.internal/ubuntu/ vivid/main libxss1 armhf 1:1.2.2-1 [7652 B]
Get:71 http://ftpmaster.internal/ubuntu/ vivid/main libtk8.6 armhf 8.6.1-3ubuntu2 [613 kB]
Get:72 http://ftpmaster.internal/ubuntu/ vivid/main libunistring0 armhf 0.9.3-5.2ubuntu1 [250 kB]
Get:73 http://ftpmaster.internal/ubuntu/ vivid/main python2.7-minimal armhf 2.7.9-1 [1111 kB]
Get:74 http://ftpmaster.internal/ubuntu/ vivid/main file armhf 1:5.20-1ubuntu1 [19.6 kB]
Get:75 http://ftpmaster.internal/ubuntu/ vivid/main gettext-base armhf 0.19.2-2ubuntu1 [44.8 kB]
Get:76 http://ftpmaster.internal/ubuntu/ vivid/main m4 armhf 1.4.17-4 [178 kB]
Get:77 http://ftpmaster.internal/ubuntu/ vivid/main autoconf all 2.69-8 [321 kB]
Get:78 http://ftpmaster.internal/ubuntu/ vivid/main autotools-dev all 20140911.1 [39.6 kB]
Get:79 http://ftpmaster.internal/ubuntu/ vivid/main automake all 1:1.14.1-3ubuntu1 [510 kB]
Get:80 http://ftpmaster.internal/ubuntu/ vivid/main autopoint all 0.19.2-2ubuntu1 [383 kB]
Get:81 http://ftpmaster.internal/ubuntu/ vivid/main python2.7 armhf 2.7.9-1 [207 kB]
Get:82 http://ftpmaster.internal/ubuntu/ vivid/main python-minimal armhf 2.7.8-2 [28.4 kB]
Get:83 http://ftpmaster.internal/ubuntu/ vivid/main libpython-stdlib armhf 2.7.8-2 [7878 B]
Get:84 http://ftpmaster.internal/ubuntu/ vivid/main python armhf 2.7.8-2 [137 kB]
Get:85 http://ftpmaster.internal/ubuntu/ vivid/main cython armhf 0.21.1-1 [1419 kB]
Get:86 http://ftpmaster.internal/ubuntu/ vivid/main gettext armhf 0.19.2-2ubuntu1 [792 kB]
Get:87 http://ftpmaster.internal/ubuntu/ vivid/main intltool-debian all 0.35.0+20060710.1 [31.6 kB]
Get:88 http://ftpmaster.internal/ubuntu/ vivid/main po-debconf all 1.0.16+nmu3 [207 kB]
Get:89 http://ftpmaster.internal/ubuntu/ vivid/main dh-apparmor all 2.8.98-0ubuntu4 [10.9 kB]
Get:90 http://ftpmaster.internal/ubuntu/ vivid/main debhelper all 9.20141022ubuntu1 [727 kB]
Get:91 http://ftpmaster.internal/ubuntu/ vivid/main libtool all 2.4.2-1.11 [180 kB]
Get:92 http://ftpmaster.internal/ubuntu/ vivid/main dh-autoreconf all 10 [15.3 kB]
Get:93 http://ftpmaster.internal/ubuntu/ vivid/universe fonts-lyx all 2.1.2-3 [161 kB]
Get:94 http://ftpmaster.internal/ubuntu/ vivid/main libblas-common armhf 1.2.20110419-10 [3078 B]
Get:95 http://ftpmaster.internal/ubuntu/ vivid/universe libatlas3-base armhf 3.10.2-6 [1922 kB]
Get:96 http://ftpmaster.internal/ubuntu/ vivid/main libjs-jquery all 1.7.2+dfsg-3ubuntu2 [69.0 kB]
Get:97 http://ftpmaster.internal/ubuntu/ vivid/universe libjs-jquery-ui all 1.10.1+dfsg-1 [458 kB]
Get:98 http://ftpmaster.internal/ubuntu/ vivid/main libpython-dev armhf 2.7.8-2 [7962 B]
Get:99 http://ftpmaster.internal/ubuntu/ vivid/main libpython-all-dev armhf 2.7.8-2 [1052 B]
Get:100 http://ftpmaster.internal/ubuntu/ vivid/universe libsvm3 armhf 3.12-1 [38.1 kB]
Get:101 http://ftpmaster.internal/ubuntu/ vivid/universe libsvm-dev armhf 3.12-1 [29.5 kB]
Get:102 http://ftpmaster.internal/ubuntu/ vivid/main python-all armhf 2.7.8-2 [1034 B]
Get:103 http://ftpmaster.internal/ubuntu/ vivid/main python2.7-dev armhf 2.7.9-1 [270 kB]
Get:104 http://ftpmaster.internal/ubuntu/ vivid/main python-dev armhf 2.7.8-2 [1224 B]
Get:105 http://ftpmaster.internal/ubuntu/ vivid/main python-all-dev armhf 2.7.8-2 [1060 B]
Get:106 http://ftpmaster.internal/ubuntu/ vivid/main python-six all 1.8.0-1 [10.1 kB]
Get:107 http://ftpmaster.internal/ubuntu/ vivid/main python-dateutil all 2.2-2 [51.2 kB]
Get:108 http://ftpmaster.internal/ubuntu/ vivid/main python-decorator all 3.4.0-2build1 [19.2 kB]
Get:109 http://ftpmaster.internal/ubuntu/ vivid/universe python-joblib all 0.8.3-1 [59.4 kB]
Get:110 http://ftpmaster.internal/ubuntu/ vivid/universe python-matplotlib-data all 1.4.2-3 [2528 kB]
Get:111 http://ftpmaster.internal/ubuntu/ vivid/main python-pyparsing all 2.0.3+dfsg1-1 [35.3 kB]
Get:112 http://ftpmaster.internal/ubuntu/ vivid/main python-tz all 2012c+dfsg-0.1 [29.9 kB]
Get:113 http://ftpmaster.internal/ubuntu/ vivid/main python-numpy armhf 1:1.8.2-1ubuntu1 [1501 kB]
Get:114 http://ftpmaster.internal/ubuntu/ vivid/main python-mock all 1.0.1-3 [23.8 kB]
Get:115 http://ftpmaster.internal/ubuntu/ vivid/main python-pkg-resources all 5.5.1-1 [61.8 kB]
Get:116 http://ftpmaster.internal/ubuntu/ vivid/main python-nose all 1.3.4-2 [118 kB]
Get:117 http://ftpmaster.internal/ubuntu/ vivid/universe python-matplotlib armhf 1.4.2-3 [3365 kB]
Get:118 http://ftpmaster.internal/ubuntu/ vivid/main python-setuptools all 5.5.1-1 [218 kB]
Get:119 http://ftpmaster.internal/ubuntu/ vivid/universe python-support all 1.0.15 [26.7 kB]
Get:120 http://ftpmaster.internal/ubuntu/ vivid/universe python-scipy armhf 0.14.0-2ubuntu1 [7458 kB]
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Setting up libexpat1:armhf (2.1.0-6ubuntu1) ...
Setting up libmagic1:armhf (1:5.20-1ubuntu1) ...
Setting up libasprintf0c2:armhf (0.19.2-2ubuntu1) ...
Setting up libglib2.0-0:armhf (2.43.2-1ubuntu1) ...
No schema files found: doing nothing.
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Setting up bsdmainutils (9.0.6ubuntu1) ...
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 man-db (2.7.0.2-4) ...
Not building database; man-db/auto-update is not 'true'.
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Setting up fontconfig (2.11.1-0ubuntu5) ...
Regenerating fonts cache... done.
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Setting up libatk1.0-0:armhf (2.14.0-1ubuntu1) ...
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Setting up libxft2:armhf (2.3.2-1) ...
Setting up x11-common (1:7.7+7ubuntu2) ...
update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults
invoke-rc.d: policy-rc.d denied execution of start.
Setting up libxss1:armhf (1:1.2.2-1) ...
Setting up libtk8.6:armhf (8.6.1-3ubuntu2) ...
Setting up libunistring0:armhf (0.9.3-5.2ubuntu1) ...
Setting up python2.7-minimal (2.7.9-1) ...
Linking and byte-compiling packages for runtime python2.7...
Setting up file (1:5.20-1ubuntu1) ...
Setting up gettext-base (0.19.2-2ubuntu1) ...
Setting up m4 (1.4.17-4) ...
Setting up autoconf (2.69-8) ...
Setting up autotools-dev (20140911.1) ...
Setting up automake (1:1.14.1-3ubuntu1) ...
update-alternatives: using /usr/bin/automake-1.14 to provide /usr/bin/automake (automake) in auto mode
Setting up autopoint (0.19.2-2ubuntu1) ...
Setting up python2.7 (2.7.9-1) ...
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Setting up libpython-stdlib:armhf (2.7.8-2) ...
Setting up python (2.7.8-2) ...
Setting up cython (0.21.1-1) ...
Setting up gettext (0.19.2-2ubuntu1) ...
Setting up intltool-debian (0.35.0+20060710.1) ...
Setting up po-debconf (1.0.16+nmu3) ...
Setting up dh-apparmor (2.8.98-0ubuntu4) ...
Setting up debhelper (9.20141022ubuntu1) ...
Setting up libtool (2.4.2-1.11) ...
Setting up dh-autoreconf (10) ...
Setting up fonts-lyx (2.1.2-3) ...
Setting up libblas-common (1.2.20110419-10) ...
Setting up libatlas3-base (3.10.2-6) ...
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 libjs-jquery (1.7.2+dfsg-3ubuntu2) ...
Setting up libjs-jquery-ui (1.10.1+dfsg-1) ...
Setting up libpython-dev:armhf (2.7.8-2) ...
Setting up libpython-all-dev:armhf (2.7.8-2) ...
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Setting up python-all (2.7.8-2) ...
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Setting up python-dev (2.7.8-2) ...
Setting up python-all-dev (2.7.8-2) ...
Setting up python-six (1.8.0-1) ...
Setting up python-dateutil (2.2-2) ...
Setting up python-decorator (3.4.0-2build1) ...
Setting up python-joblib (0.8.3-1) ...
Setting up python-matplotlib-data (1.4.2-3) ...
Setting up python-pyparsing (2.0.3+dfsg1-1) ...
Setting up python-tz (2012c+dfsg-0.1) ...
Setting up python-numpy (1:1.8.2-1ubuntu1) ...
Setting up python-mock (1.0.1-3) ...
Setting up python-pkg-resources (5.5.1-1) ...
Setting up python-nose (1.3.4-2) ...
Setting up python-matplotlib (1.4.2-3) ...
Setting up python-setuptools (5.5.1-1) ...
Setting up python-support (1.0.15) ...
Setting up python-scipy (0.14.0-2ubuntu1) ...
Processing triggers for libc-bin (2.19-13ubuntu3) ...
Checking correctness of source dependencies...
Toolchain package versions: libc6-dev_2.19-13ubuntu3 make_4.0-8 dpkg-dev_1.17.21ubuntu2 gcc-4.9_4.9.2-7ubuntu3 g++-4.9_4.9.2-7ubuntu3 binutils_2.24.90.20141219-1ubuntu1 libstdc++-4.9-dev_4.9.2-7ubuntu3 libstdc++6_4.9.2-7ubuntu3
------------------------------------------------------------------------------
dpkg-source: warning: -sn is not a valid option for Dpkg::Source::Package::V3::Quilt
gpgv: Signature made Wed Dec 24 08:10:53 2014 UTC using RSA key ID F1ED1345
gpgv: Can't check signature: public key not found
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.15.2-3ubuntu1.dsc
dpkg-source: info: extracting scikit-learn in scikit-learn-0.15.2
dpkg-source: info: unpacking scikit-learn_0.15.2.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.15.2-3ubuntu1.debian.tar.xz
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-buildpackage: source package scikit-learn
dpkg-buildpackage: source version 0.15.2-3ubuntu1
dpkg-buildpackage: source distribution vivid
 dpkg-source --before-build scikit-learn-0.15.2
dpkg-buildpackage: host architecture armhf
 /usr/bin/fakeroot debian/rules clean
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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
   dh_testdir -O--buildsystem=python_distutils
   dh_auto_clean -O--buildsystem=python_distutils
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv7l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv7l' does not exist -- can't clean it
'build/scripts-2.7' does not exist -- can't clean it
   debian/rules override_dh_clean
make[1]: Entering directory '/build/buildd/scikit-learn-0.15.2'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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 '/build/buildd/scikit-learn-0.15.2'
 debian/rules build-arch
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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
   dh_testdir -a -O--buildsystem=python_distutils
   dh_auto_configure -a -O--buildsystem=python_distutils
   dh_auto_build -a -O--buildsystem=python_distutils
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/arm-linux-gnueabihf']
  NOT AVAILABLE

openblas_info:
  libraries  not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  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/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: 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/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1530: 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:1533: 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:77: 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._hierarchical" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.utils.sparsetools._min_spanning_tree" 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.metrics.pairwise_fast" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn._hmmc" 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.utils.sparsetools._min_spanning_tree" 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-armv7l-2.7
creating build/lib.linux-armv7l-2.7/sklearn
copying sklearn/qda.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/lda.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pls.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/hmm.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/_build_utils.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-2.7/sklearn
creating build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
creating build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm
creating build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
creating build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
creating build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
copying sklearn/cluster/bicluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
copying sklearn/cluster/bicluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
copying sklearn/cluster/bicluster/utils.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
copying sklearn/cluster/bicluster/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
creating build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
creating build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/selector_mixin.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
creating build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-2.7/sklearn/externals
creating build/lib.linux-armv7l-2.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals/joblib
creating build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
creating build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
creating build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_weights.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
creating build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
creating build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
creating build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-2.7/sklearn/tree
creating build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster
copying sklearn/metrics/cluster/bicluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster
copying sklearn/metrics/cluster/bicluster/bicluster_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests
copying sklearn/metrics/cluster/bicluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests
copying sklearn/metrics/cluster/bicluster/tests/test_bicluster_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
creating build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_hmm.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_lda.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_qda.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7
creating build/temp.linux-armv7l-2.7/sklearn
creating build/temp.linux-armv7l-2.7/sklearn/svm
creating build/temp.linux-armv7l-2.7/sklearn/svm/src
creating build/temp.linux-armv7l-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
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-2.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/src
creating build/temp.linux-armv7l-2.7/sklearn/src/cblas
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-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'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/cblas_dcopy.c:46:10: warning: implicit declaration of function 'ATL_drefcopy' [-Wimplicit-function-declaration]
          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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/cblas_scopy.c:46:10: warning: implicit declaration of function 'ATL_srefcopy' [-Wimplicit-function-declaration]
          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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-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)
              ^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc-ar: adding 26 object files to build/temp.linux-armv7l-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: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/svm/libsvm.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/liblinear.c:303:
/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/ufuncobject.h:327:0,
                 from sklearn/svm/liblinear.c:304:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
compiling C++ sources
C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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/linear.cpp
c++: sklearn/svm/src/liblinear/tron.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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/liblinear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/svm/libsvm_sparse.c: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 " \
  ^
sklearn/svm/libsvm_sparse.c: In function '__pyx_pf_7sklearn_3svm_13libsvm_sparse_libsvm_sparse_train':
sklearn/svm/libsvm_sparse.c:2196:39: warning: passing argument 2 of 'copy_support' from incompatible pointer type
   copy_support(__pyx_v_support->data, __pyx_v_model);
                                       ^
In file included from sklearn/svm/libsvm_sparse.c:317:0:
sklearn/svm/src/libsvm/libsvm_sparse_helper.c:310:6: note: expected 'struct svm_model *' but argument is of type 'struct svm_csr_model *'
 void copy_support (char *data, struct svm_model *model)
      ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/svm/libsvm_sparse.c:315:
sklearn/svm/libsvm_sparse.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/datasets/_svmlight_format.c:315:
/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/ufuncobject.h:327:0,
                 from sklearn/datasets/_svmlight_format.c:316:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/feature_extraction/_hashing.c:315:
/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/ufuncobject.h:327:0,
                 from sklearn/feature_extraction/_hashing.c:316:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/cluster/_hierarchical.cpp:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: 'int _import_umath()' defined but not used [-Wunused-function]
 _import_umath(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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/cluster/_k_means.c:347:
/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/ufuncobject.h:327:0,
                 from sklearn/cluster/_k_means.c:348:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/ensemble/_gradient_boosting.c:352:
/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/ufuncobject.h:327:0,
                 from sklearn/ensemble/_gradient_boosting.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so
building 'sklearn.utils.sparsetools._min_spanning_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-2.7/sklearn/utils
creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_min_spanning_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:256:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.so
building 'sklearn.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:275:
/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/sparsetools/_traversal.c: In function '__Pyx_GetBuffer':
sklearn/utils/sparsetools/_traversal.c:10909:15: warning: unused variable 'getbuffer_cobj' [-Wunused-variable]
     PyObject *getbuffer_cobj;
               ^
sklearn/utils/sparsetools/_traversal.c: In function '__Pyx_ReleaseBuffer':
sklearn/utils/sparsetools/_traversal.c:10949:15: warning: unused variable 'releasebuffer_cobj' [-Wunused-variable]
     PyObject *releasebuffer_cobj;
               ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:275:
sklearn/utils/sparsetools/_traversal.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_traversal.c:276:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:275:
/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/sparsetools/_graph_tools.c: In function '__Pyx_GetBuffer':
sklearn/utils/sparsetools/_graph_tools.c:8680:15: warning: unused variable 'getbuffer_cobj' [-Wunused-variable]
     PyObject *getbuffer_cobj;
               ^
sklearn/utils/sparsetools/_graph_tools.c: In function '__Pyx_ReleaseBuffer':
sklearn/utils/sparsetools/_graph_tools.c:8720:15: warning: unused variable 'releasebuffer_cobj' [-Wunused-variable]
     PyObject *releasebuffer_cobj;
               ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:275:
sklearn/utils/sparsetools/_graph_tools.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_graph_tools.c:276:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsefuncs_fast.c:352:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/sparsefuncs_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/arrayfuncs.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/arrayfuncs.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/murmurhash.c:256:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/murmurhash.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
compiling C++ sources
C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:256:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/graph_shortest_path.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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 -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:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 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;
                                              ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/fast_dict.cpp:321:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h: At global scope:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: 'int _import_umath()' defined but not used [-Wunused-function]
 _import_umath(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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/seq_dataset.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/seq_dataset.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/weight_vector.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/weight_vector.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_random.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/_random.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:304:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:304:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/_logistic_sigmoid.c:305:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/ball_tree.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/ball_tree.c:314:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/neighbors/ball_tree.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/kd_tree.c:346:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/kd_tree.c:346:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/neighbors/kd_tree.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:19257:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
                                                 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/dist_metrics.c: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 " \
  ^
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:5657:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type
   __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 = 454; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                                                                     ^
sklearn/neighbors/dist_metrics.c:5532:54: 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:6310:84: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type
   __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 = 543; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                                                                    ^
sklearn/neighbors/dist_metrics.c:6231:54: 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:6852:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type
   __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 = 601; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                                                                     ^
sklearn/neighbors/dist_metrics.c:6737:54: 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:7520:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type
   __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 = 670; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                                                                      ^
sklearn/neighbors/dist_metrics.c:7350:54: 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) {
                                                      ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/neighbors/dist_metrics.c:315:
sklearn/neighbors/dist_metrics.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/typedefs.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/neighbors/typedefs.c:314:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/neighbors/typedefs.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_utils.c:347:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/manifold/_utils.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/manifold/_utils.c:348:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/pairwise_fast.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/metrics/pairwise_fast.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_tree.c:352:
/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_pf_7sklearn_4tree_5_tree_23ClassificationCriterion___cinit__':
sklearn/tree/_tree.c:2618:41: warning: variable '__pyx_t_1' set but not used [-Wunused-but-set-variable]
   __pyx_t_7sklearn_4tree_5_tree_SIZE_t *__pyx_t_1;
                                         ^
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_8Splitter_init':
sklearn/tree/_tree.c:8486:42: warning: variable '__pyx_t_11' set but not used [-Wunused-but-set-variable]
   __pyx_t_7sklearn_4tree_5_tree_DTYPE_t *__pyx_t_11;
                                          ^
sklearn/tree/_tree.c: In function '__pyx_pf_7sklearn_4tree_5_tree_4Tree___cinit__':
sklearn/tree/_tree.c:17557:41: warning: variable '__pyx_t_1' set but not used [-Wunused-but-set-variable]
   __pyx_t_7sklearn_4tree_5_tree_SIZE_t *__pyx_t_1;
                                         ^
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:20258:36: warning: passing argument 1 of '(struct PyObject * (*)(struct PyTypeObject *, struct PyArray_Descr *, int,  npy_intp *, npy_intp *, void *, int,  struct PyObject *))*(PyArray_API + 376u)' from incompatible pointer type
   __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)((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 = 2471; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
                                    ^
sklearn/tree/_tree.c:20258:36: note: expected 'struct PyTypeObject *' but argument is of type 'struct PyObject *'
sklearn/tree/_tree.c: In function '__pyx_pf_7sklearn_4tree_5_tree__realloc_test':
sklearn/tree/_tree.c:21327:41: warning: variable '__pyx_t_1' set but not used [-Wunused-but-set-variable]
   __pyx_t_7sklearn_4tree_5_tree_SIZE_t *__pyx_t_1;
                                         ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/tree/_tree.c:353:
sklearn/tree/_tree.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_utils.c:346:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/tree/_utils.c:346:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/tree/_utils.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
sklearn/tree/_utils.c:5512:18: warning: '__Pyx_Import' defined but not used [-Wunused-function]
 static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
                  ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so
building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-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:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/metrics/cluster/expected_mutual_info_fast.c:257:
/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/ufuncobject.h:327:0,
                 from sklearn/metrics/cluster/expected_mutual_info_fast.c:258:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so
building 'sklearn._hmmc' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/_hmmc.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/_hmmc.c:315:
/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/ufuncobject.h:327:0,
                 from sklearn/_hmmc.c:316:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/_hmmc.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_hmmc.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/_isotonic.c:352:
/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/ufuncobject.h:327:0,
                 from sklearn/_isotonic.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC

creating build/temp.linux-armv7l-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'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/cd_fast.c:315:
/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/ufuncobject.h:327:0,
                 from sklearn/linear_model/cd_fast.c:316:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/linear_model/sgd_fast.c:353:
/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/ufuncobject.h:327:0,
                 from sklearn/linear_model/sgd_fast.c:354:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so
building 'sklearn.utils.sparsetools._min_spanning_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_min_spanning_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:256:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:256:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_min_spanning_tree.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.so
building 'sklearn.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:275:
/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/sparsetools/_traversal.c: In function '__Pyx_GetBuffer':
sklearn/utils/sparsetools/_traversal.c:10909:15: warning: unused variable 'getbuffer_cobj' [-Wunused-variable]
     PyObject *getbuffer_cobj;
               ^
sklearn/utils/sparsetools/_traversal.c: In function '__Pyx_ReleaseBuffer':
sklearn/utils/sparsetools/_traversal.c:10949:15: warning: unused variable 'releasebuffer_cobj' [-Wunused-variable]
     PyObject *releasebuffer_cobj;
               ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_traversal.c:275:
sklearn/utils/sparsetools/_traversal.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_traversal.c:276:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:275:
/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/sparsetools/_graph_tools.c: In function '__Pyx_GetBuffer':
sklearn/utils/sparsetools/_graph_tools.c:8680:15: warning: unused variable 'getbuffer_cobj' [-Wunused-variable]
     PyObject *getbuffer_cobj;
               ^
sklearn/utils/sparsetools/_graph_tools.c: In function '__Pyx_ReleaseBuffer':
sklearn/utils/sparsetools/_graph_tools.c:8720:15: warning: unused variable 'releasebuffer_cobj' [-Wunused-variable]
     PyObject *releasebuffer_cobj;
               ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsetools/_graph_tools.c:275:
sklearn/utils/sparsetools/_graph_tools.c: At top level:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/sparsetools/_graph_tools.c:276:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/sparsefuncs_fast.c:352:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/sparsefuncs_fast.c:353:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/arrayfuncs.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/arrayfuncs.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/murmurhash.c:256:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/murmurhash.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
compiling C++ sources
C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/graph_shortest_path.c:256:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/graph_shortest_path.c:257:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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 -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:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 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;
                                              ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/fast_dict.cpp:321:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h: At global scope:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: 'int _import_umath()' defined but not used [-Wunused-function]
 _import_umath(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 -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/seq_dataset.c:346:
/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/ufuncobject.h:327:0,
                 from sklearn/utils/seq_dataset.c:347:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/weight_vector.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/weight_vector.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_random.c: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 " \
  ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/_random.c:315:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -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'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1761:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:17,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:304:
/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:26:0,
                 from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from sklearn/utils/_logistic_sigmoid.c:304:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1629:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ufuncobject.h:327:0,
                 from sklearn/utils/_logistic_sigmoid.c:305:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__ufunc_api.h:241:1: warning: '_import_umath' defined but not used [-Wunused-function]
 _import_umath(void)
 ^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
   dh_auto_test -a -O--buildsystem=python_distutils
 /usr/bin/fakeroot debian/rules binary-arch
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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: <version> <relation> <version>

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
   dh_testroot -a -O--buildsystem=python_distutils
   dh_prep -a -O--buildsystem=python_distutils
   debian/rules override_dh_auto_install
make[1]: Entering directory '/build/buildd/scikit-learn-0.15.2'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: No module named sphinx
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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: <version> <relation> <version>

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/python-sklearn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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/arm-linux-gnueabihf']
  NOT AVAILABLE

openblas_info:
  libraries  not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  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/arm-linux-gnueabihf']
  NOT AVAILABLE

atlas_blas_info:
  libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: 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/arm-linux-gnueabihf']
  NOT AVAILABLE

/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1530: 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:1533: 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:77: 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._hierarchical" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.utils.sparsetools._min_spanning_tree" 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.metrics.pairwise_fast" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources
building extension "sklearn._hmmc" 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.utils.sparsetools._min_spanning_tree" 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/python-sklearn
creating debian/python-sklearn/usr
creating debian/python-sklearn/usr/lib
creating debian/python-sklearn/usr/lib/python2.7
creating debian/python-sklearn/usr/lib/python2.7/dist-packages
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/qda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/lda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/rfe.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/from_model.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/univariate_selection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/selector_mixin.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_from_model.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_chi2.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_rfe.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests/test_feature_select.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/variance_threshold.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/cross_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-2.7/sklearn/externals/joblib/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv7l-2.7/sklearn/externals/test_externals_setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/six.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/cca_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/pls_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/image.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/hashing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/text.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/_hashing.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_text.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests/test_image.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/stop_words.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/dpgmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_gmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/tests/test_dpgmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pls.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/sparse_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/fastica_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/kernel_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/truncated_svd.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/factor_analysis.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/dict_learning.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_nmf.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_fastica.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/tests/test_dict_learning.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/nmf.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/isotonic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/learning_curve.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/hmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/weight_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/bagging.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/gradient_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/partial_dependence.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_forest.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_bagging.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/forest.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/extmath.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/class_weight.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/linear_assignment_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arpack.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_min_spanning_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/bench.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/testing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fixes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_random.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_class_weight.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_linear_assignment.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_shortest_path.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_random.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fast_dict.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_bench.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_fixes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_murmurhash.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_testing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_extmath.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/random.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/rbm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neural_network
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/spectral_embedding_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/locally_linear.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/mds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/t_sne.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_utils.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/isomap.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/manifold
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/k_means_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/hierarchical.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/affinity_propagation_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/mean_shift_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/dbscan_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/test_spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster/tests/test_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_feature_agglomeration.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_spectral.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_dbscan.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_mean_shift.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_k_means.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/common.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_hierarchical.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__check_build
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/samples_generator.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/twenty_newsgroups.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/species_distributions.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/_svmlight_format.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/covtype.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/california_housing.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mlcomp.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_20news.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_lfw.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_mldata.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_svmlight_format.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_samples_generator.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_covtype.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/olivetti_faces.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/lfw.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/svmlight_format.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mldata.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/pipeline.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/graph.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/nearest_centroid.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/regression.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/classification.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kde.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/unsupervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/kernel_approximation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/_weights.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/data.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/imputation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/label.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/empirical_covariance_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/robust_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/shrunk_covariance_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/graph_lasso_.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/outlier_detection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_graph_lasso.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_covariance.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/tree.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/export.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_tree.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_export.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/_build_utils.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/_hmmc.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/unsupervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/supervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/bicluster_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster/tests/test_bicluster_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster/tests
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_metrics.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_score_objects.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_pairwise.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/scorer.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/naive_bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/regression_models.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gaussian_process.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/correlation_models.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ridge.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/randomized_l1.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/perceptron.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/cd_fast.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/omp.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/stochastic_gradient.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ransac.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/least_angle.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_perceptron.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ridge.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_least_angle.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_sgd.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_logistic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_ransac.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_omp.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/passive_aggressive.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/coordinate_descent.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/logistic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/_isotonic.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_naive_bayes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_random_projection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_isotonic.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_cross_validation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multiclass.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pipeline.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_learning_curve.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_hmm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_lda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_init.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_qda.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_common.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_check_build.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_grid_search.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_dummy.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_approximation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/grid_search.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/dummy.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/label_propagation.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/setup.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/base.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/__init__.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_svm.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_sparse.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_bounds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/classes.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/bounds.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/random_projection.py -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py to qda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/lda.py to lda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/selector_mixin.py to selector_mixin.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc
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byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pls.py to pls.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc
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byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_hmm.py to test_hmm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_lda.py to test_lda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_qda.py to test_qda.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc
byte-compiling debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc
running install_data
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/diabetes_target.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/flower.jpg -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
creating debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/linnerud.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing debian/python-sklearn/usr/lib/python2.7/dist-packages/scikit_learn-0.15.2.egg-info
running install_clib
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>

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' !
export PYTHONPATH=`/bin/ls -d $PWD/debian/python-sklearn/usr/lib/python2.7/*/`; \
export MPLCONFIGDIR=/build/buildd/scikit-learn-0.15.2/build HOME=/build/buildd/scikit-learn-0.15.2/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
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/pls.py:7: DeprecationWarning: This module has been moved to cross_decomposition and will be removed in 0.16
  "removed in 0.16", DeprecationWarning)
Test Dhillon's Spectral CoClustering on a simple problem. ... ok
Test Kluger methods on a checkerboard dataset. ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_scale_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_bistochastic_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_log_normalize ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_fit_best_piecewise ... ok
sklearn.cluster.bicluster.tests.test_spectral.test_project_and_cluster ... ok
sklearn.cluster.bicluster.tests.test_spectral.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.bicluster.tests.test_spectral.test_errors ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_indicators ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_shape ... ok
sklearn.cluster.bicluster.tests.test_utils.test_get_submatrix ... ok
Affinity Propagation algorithm ... ok
Test AffinityPropagation.predict ... ok
Test exception in AffinityPropagation.predict ... ok
Tests the DBSCAN algorithm with a similarity array. ... ok
Tests the DBSCAN algorithm with a feature vector array. ... ok
Tests the DBSCAN algorithm with a callable metric. ... ok
Tests the DBSCAN algorithm with balltree for neighbor calculation. ... ok
Test bad argument values: these should all raise ValueErrors ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok
Check that we obtain the correct solution for structured linkage trees. ... ok
Check that we obtain the correct solution for unstructured linkage trees. ... ok
Check that the height of the results of linkage tree is sorted. ... ok
Check that we obtain the correct number of clusters with ... ok
Check that we obtain the correct solution in a simplistic case ... ok
Test scikit linkage with full connectivity (i.e. unstructured) vs scipy ... ok
Check that connectivity in the ward tree is propagated correctly during ... ok
Check non regression of a bug if a non item assignable connectivity is ... ok
sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok
sklearn.cluster.tests.test_k_means.test_kmeans_dtype ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok
Check that dense and sparse minibatch update give the same results ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_check_fitted ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1521: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1530: 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/python2.7/dist-packages/numpy/distutils/system_info.py:1533: 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__)
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_mb_k_means_plus_plus_init_dense_array ... 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 ... 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 ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... I: Seeding RNGs with 819639558
Converged after 58 iterations.
Init 1/3 with method: random
Inertia for init 1/3: 24.916922
Init 2/3 with method: random
Inertia for init 2/3: 39.274546
Init 3/3 with method: random
Inertia for init 3/3: 199.223585
Minibatch iteration 1/1000: mean batch inertia: 1.660102, ewa inertia: 1.660102 
Minibatch iteration 2/1000: mean batch inertia: 1.232165, ewa inertia: 1.575362 
Minibatch iteration 3/1000: mean batch inertia: 0.826003, ewa inertia: 1.426974 
Minibatch iteration 4/1000: mean batch inertia: 0.854897, ewa inertia: 1.313691 
Minibatch iteration 5/1000: mean batch inertia: 0.623423, ewa inertia: 1.177005 
Minibatch iteration 6/1000: mean batch inertia: 0.685100, ewa inertia: 1.079598 
Minibatch iteration 7/1000: mean batch inertia: 0.209136, ewa inertia: 0.907229 
Minibatch iteration 8/1000: mean batch inertia: 0.654528, ewa inertia: 0.857189 
Minibatch iteration 9/1000: mean batch inertia: 0.202988, ewa inertia: 0.727644 
[MiniBatchKMeans] Reassigning 5 cluster centers.
Minibatch iteration 10/1000: mean batch inertia: 1.281491, ewa inertia: 0.837317 
Minibatch iteration 11/1000: mean batch inertia: 0.925521, ewa inertia: 0.854783 
Minibatch iteration 12/1000: mean batch inertia: 0.537055, ewa inertia: 0.791867 
Minibatch iteration 13/1000: mean batch inertia: 0.868558, ewa inertia: 0.807053 
Minibatch iteration 14/1000: mean batch inertia: 0.324437, ewa inertia: 0.711485 
Minibatch iteration 15/1000: mean batch inertia: 1.844627, ewa inertia: 0.935870 
Minibatch iteration 16/1000: mean batch inertia: 0.600267, ewa inertia: 0.869414 
Minibatch iteration 17/1000: mean batch inertia: 0.312916, ewa inertia: 0.759216 
Minibatch iteration 18/1000: mean batch inertia: 0.825683, ewa inertia: 0.772378 
Minibatch iteration 19/1000: mean batch inertia: 0.390431, ewa inertia: 0.696745 
[MiniBatchKMeans] Reassigning 5 cluster centers.
Minibatch iteration 20/1000: mean batch inertia: 0.414878, ewa inertia: 0.640930 
Minibatch iteration 21/1000: mean batch inertia: 0.338816, ewa inertia: 0.581105 
Minibatch iteration 22/1000: mean batch inertia: 0.656144, ewa inertia: 0.595964 
Minibatch iteration 23/1000: mean batch inertia: 1.814592, ewa inertia: 0.837277 
Minibatch iteration 24/1000: mean batch inertia: 0.128493, ewa inertia: 0.696924 
Minibatch iteration 25/1000: mean batch inertia: 0.803327, ewa inertia: 0.717993 
Minibatch iteration 26/1000: mean batch inertia: 0.478222, ewa inertia: 0.670514 
Minibatch iteration 27/1000: mean batch inertia: 0.587237, ewa inertia: 0.654024 
Minibatch iteration 28/1000: mean batch inertia: 0.782935, ewa inertia: 0.679551 
Minibatch iteration 29/1000: mean batch inertia: 0.941256, ewa inertia: 0.731373 
[MiniBatchKMeans] Reassigning 5 cluster centers.
Minibatch iteration 30/1000: mean batch inertia: 0.325042, ewa inertia: 0.650912 
Minibatch iteration 31/1000: mean batch inertia: 1.054947, ewa inertia: 0.730919 
Converged (lack of improvement in inertia) at iteration 31/1000
Computing label assignment and total inertia
Init 1/3 with method: random
Inertia for init 1/3: 64.039810
Init 2/3 with method: random
Inertia for init 2/3: 880.509880
Init 3/3 with method: random
Inertia for init 3/3: 71.264672
Minibatch iteration 1/100: mean batch inertia: 0.755313, ewa inertia: 0.755313 
Minibatch iteration 2/100: mean batch inertia: 0.449181, ewa inertia: 0.449181 
Minibatch iteration 3/100: mean batch inertia: 0.697274, ewa inertia: 0.697274 
Minibatch iteration 4/100: mean batch inertia: 0.652782, ewa inertia: 0.652782 
Minibatch iteration 5/100: mean batch inertia: 0.579063, ewa inertia: 0.579063 
Minibatch iteration 6/100: mean batch inertia: 0.498819, ewa inertia: 0.498819 
Minibatch iteration 7/100: mean batch inertia: 0.547558, ewa inertia: 0.547558 
Minibatch iteration 8/100: mean batch inertia: 0.725836, ewa inertia: 0.725836 
Minibatch iteration 9/100: mean batch inertia: 0.584634, ewa inertia: 0.584634 
[MiniBatchKMeans] Reassigning 8 cluster centers.
Minibatch iteration 10/100: mean batch inertia: 0.556086, ewa inertia: 0.556086 
Minibatch iteration 11/100: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 ... 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
Check if copy_x=False returns nearly equal X after de-centering. ... ok
Check k_means with a bad initialization does not yield a singleton ... 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 ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
Check that increasing the number of init increases the quality ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
Test estimate_bandwidth ... ok
Test MeanShift algorithm ... ok
Test MeanShift.predict ... ok
Non-regression: before fit, there should be not fitted attributes. ... ok
Test the bin seeding technique which can be used in the mean shift ... 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 ... ok
Tests Covariance module on a simple dataset. ... ok
Tests ShrunkCovariance module on a simple dataset. ... ok
Tests LedoitWolf module on a simple dataset. ... ok
Tests OAS module on a simple dataset. ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:205: RuntimeWarning: invalid value encountered in multiply
  * coefs)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:207: RuntimeWarning: invalid value encountered in multiply
  * coefs)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:52: RuntimeWarning: invalid value encountered in absolute
  gap += alpha * (np.abs(precision_).sum()
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:53: RuntimeWarning: invalid value encountered in absolute
  - np.abs(np.diag(precision_)).sum())
/usr/lib/python2.7/dist-packages/numpy/linalg/linalg.py:1676: RuntimeWarning: invalid value encountered in slogdet
  sign, logdet = _umath_linalg.slogdet(a, signature=signature)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:39: RuntimeWarning: invalid value encountered in absolute
  cost += alpha * (np.abs(precision_).sum()
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:40: RuntimeWarning: invalid value encountered in absolute
  - np.abs(np.diag(precision_)).sum())
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:219: RuntimeWarning: invalid value encountered in absolute
  if np.abs(d_gap) < tol:
ok
Tests the FastMCD algorithm implementation ... 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
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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:118: 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:139: 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:155: 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_boston ... 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_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_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_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_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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:490: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations
  ConvergenceWarning)
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
Test FactorAnalysis ability to recover the data covariance structure ... ok
Test gram schmidt orthonormalization ... ok
Test the FastICA algorithm on very simple data. ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
Test the FastICA algorithm on very simple data. ... ok
Test FastICA.fit_transform ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:271: UserWarning: Ignoring n_components with whiten=False.
  warnings.warn('Ignoring n_components with whiten=False.')
ok
Test FastICA.inverse_transform ... 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
Test the linear separability of the first 2D KPCA transform ... ok
Test NNDSVD behaviour on negative input ... ok
Test that NNDSVD does not return negative values ... ok
Test NNDSVD error ... ok
Test NNDSVD variants correctness ... ok
Test model fit behaviour on negative input ... ok
Test that the decomposition does not contain negative values ... ok
Test that the fit is not too far away ... ok
Test that NLS solver doesn't return negative values ... ok
Test that the NLS results should be close ... ok
Test that NMF.transform returns close values ... ok
Smoke test for the case of more components than features. ... ok
Test sparseness ... ok
Test that sparse matrices are accepted as input ... ok
Test that transform works on sparse data.  Issue #2124 ... ok
PCA on dense arrays ... ok
Check that PCA output has unit-variance ... ok
Check that PCA output has unit-variance ... ok
Test that the projection of data is correct ... ok
Test that the projection of data can be inverted ... ok
sklearn.decomposition.tests.test_pca.test_pca_validation ... ok
Test that the projection by RandomizedPCA on dense data is correct ... ok
Test that the projection by RandomizedPCA on list data is correct ... ok
Test that RandomizedPCA is inversible on dense data ... ok
Test that the projection by RandomizedPCA on sparse data is correct ... ok
Test that RandomizedPCA is inversible on sparse data ... ok
Check automated dimensionality setting ... ok
TODO: explain what this is testing ... ok
TODO: explain what this is testing ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
Test that probabilistic PCA scoring yields a reasonable score ... ok
Test that probabilistic PCA correctly separated different datasets ... ok
Check that probabilistic PCA selects the right model ... ok
Test that probabilistic PCA yields a reasonable score ... ok
Test that probabilistic PCA correctly separated different datasets ... ok
The homoscedastic model should work slightly worse ... ok
Check that ppca select the right model ... ok
Test that PCA matches ProbabilisticPCA with homoscedastic=True ... 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_fit_transform_parallel ... ok
Test that SparsePCA won't return NaN when there is 0 feature in all ... 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_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
Check classification for various parameter settings. ... ok
Check classification for various parameter settings on sparse input. ... ok
Check regression for various parameter settings. ... ok
Check regression for various parameter settings on sparse input. ... ok
Test that bootstraping samples generate non-perfect base estimators. ... ok
Test that bootstraping features may generate dupplicate features. ... ok
Predict probabilities. ... ok
Check that oob prediction is a good estimation of the generalization ... ok
Check that oob prediction is a good estimation of the generalization ... ok
Check singleton ensembles. ... ok
Test that it gives proper exception on deficient input. ... ok
Check parallel classification. ... ok
Check parallel regression. ... ok
Check that bagging ensembles can be grid-searched. ... ok
Check base_estimator and its default values. ... ok
Check BaseEnsemble methods. ... ok
Check that instantiating a BaseEnsemble with n_estimators<=0 raises ... 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('ExtraTreesClassifier', array([[ 1.48006984, -1.35738004,  0.46249366, ..., -1.28080671, ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', array([[ 1.48006984, -1.35738004,  0.46249366, ..., -1.28080671, ... 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('RandomForestClassifier', array([[ 5.8,  2.8,  5.1,  2.4], ... ok
Check that base trees can be grid-searched. ... ok
Check that base trees can be grid-searched. ... 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', [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1], [-2, 1], [-1, 1], [-1, 2], [2, -1], [1, -1], [1, -2]], [[-1, -1], [1, 1], [-1, 1], [1, -1]], [[-1, 0], [-1, 0], [-1, 0], [1, 1], [1, 1], [1, 1], [-1, 2], [-1, 2], [-1, 2], [1, 3], [1, 3], [1, 3]], [[-1, 0], [1, 1], [-1, 2], [1, 3]]) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier', [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1], [-2, 1], [-1, 1], [-1, 2], [2, -1], [1, -1], [1, -2]], [[-1, -1], [1, 1], [-1, 1], [1, -1]], [[-1, 0], [-1, 0], [-1, 0], [1, 1], [1, 1], [1, 1], [-1, 2], [-1, 2], [-1, 2], [1, 3], [1, 3], [1, 3]], [[-1, 0], [1, 1], [-1, 2], [1, 3]]) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor', [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1], [-2, 1], [-1, 1], [-1, 2], [2, -1], [1, -1], [1, -2]], [[-1, -1], [1, 1], [-1, 1], [1, -1]], [[-1, 0], [-1, 0], [-1, 0], [1, 1], [1, 1], [1, 1], [-1, 2], [-1, 2], [-1, 2], [1, 3], [1, 3], [1, 3]], [[-1, 0], [1, 1], [-1, 2], [1, 3]]) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor', [[-2, -1], [-1, -1], [-1, -2], [1, 1], [1, 2], [2, 1], [-2, 1], [-1, 1], [-1, 2], [2, -1], [1, -1], [1, -2]], [[-1, -1], [1, 1], [-1, 1], [1, -1]], [[-1, 0], [-1, 0], [-1, 0], [1, 1], [1, 1], [1, 1], [-1, 2], [-1, 2], [-1, 2], [1, 3], [1, 3], [1, 3]], [[-1, 0], [1, 1], [-1, 2], [1, 3]]) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
Test that the `sparse_output` parameter of RandomTreesEmbedding ... ok
Test that the `sparse_output` parameter of RandomTreesEmbedding ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... 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
Check classification on a toy dataset. ... ok
Check input parameter validation. ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok
Test GradientBoostingClassifier on synthetic dataset used by ... ok
Check consistency on dataset boston house prices with least squares ... ok
Check consistency on dataset iris. ... ok
Test on synthetic regression datasets used in Leo Breiman, ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
Predict probabilities. ... ok
Test input checks (shape and type of X and y). ... ok
X has wrong shape ... ok
test if max_features is valid. ... ok
Test to make sure random state is set properly. ... ok
Test if max features is set properly for floats and str. ... ok
Test whether staged decision function eventually gives ... ok
Test whether staged predict proba eventually gives ... ok
Check model serialization. ... ok
Check if we can fit even though all targets are equal. ... ok
Check if quantile loss with alpha=0.5 equals lad. ... ok
Test with non-integer class labels. ... ok
Test with float class labels. ... ok
Test with float class labels. ... ok
Test with different memory layouts of X and y ... ok
Test if oob_score is deprecated. ... ok
Test if oob improvement has correct shape and regression test. ... ok
Test if oob improvement has correct shape. ... ok
Check OOB improvement on multi-class dataset. ... ok
Check verbose=1 does not cause error. ... ok
Check verbose=2 does not cause error. ... ok
Test if mdeviance and bdeviance give deprecated warning. ... ok
Test if warm start equals fit. ... ok
Test if warm start equals fit - set n_estimators. ... ok
Test if possible to fit trees of differet depth in ensemble. ... ok
Test if fit clears state. ... ok
Test if warm start with zero n_estimators raises error ... ok
Test if warm start with smaller n_estimators raises error ... ok
Test if warm start with equal n_estimators does nothing ... ok
Test if oob can be turned on during warm start. ... ok
Test if warm start OOB equals fit. ... ok
Test if monitor return value works. ... ok
Test greedy trees with max_depth + 1 leafs. ... ok
Test greedy trees with max_depth + 1 leafs. ... ok
Test if ZeroEstimator works for regression. ... ok
Test if ZeroEstimator works for classification. ... ok
Test preceedence of max_leaf_nodes over max_depth. ... ok
Test if warm_start does nothing if n_estimators is not changed. ... ok
Check binomial deviance loss. ... ok
Check log odds estimator. ... ok
Test partial dependence for classifier ... ok
Test partial dependence for multi-class classifier ... ok
Test partial dependence for regressor ... ok
Test input validation of partial dependence. ... ok
Test partial dependence plot function. ... SKIP: Matplotlib not available.
Test partial dependence plot function input checks. ... SKIP: Matplotlib not available.
Test partial dependence plot function on multi-class input. ... SKIP: Matplotlib not available.
Check classification on a toy dataset. ... ok
Check classification on a toy dataset. ... ok
Check consistency on dataset iris. ... ok
Check consistency on dataset boston house prices. ... ok
Check staged predictions. ... ok
Check that base trees can be grid-searched. ... ok
Check pickability. ... ok
Check variable importances. ... ok
Test that it gives proper exception on deficient input. ... ok
Test different base estimators. ... ok
Check classification with sparse input. ... ok
Check regression with sparse input. ... 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
Test delayed input validation in fit (useful for grid search). ... ok
Assert that no zeros are materialized in the output. ... 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_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 ... SKIP: no warning gets issued on armel
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
Regression test: max_features didn't work correctly in 0.14. ... 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_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
Test Chi2 feature extraction ... ok
Check that chi2 works with a COO matrix ... ok
Check for proper error on negative numbers in the input X. ... ok
Test replacement for scipy.stats.chisquare against the original. ... ok
Test that our f_oneway gives the same result as scipy.stats ... /usr/lib/python2.7/dist-packages/numpy/lib/utils.py:134: DeprecationWarning: `fprob` is deprecated!
fprob is deprecated in scipy 0.14, use stats.f.sf or special.fdtrc instead

  warnings.warn(depdoc, DeprecationWarning)
ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
Test whether the F test yields meaningful results ... ok
Test whether the F test yields meaningful results ... ok
Test whether f_regression returns the same value ... ok
Test whether f_regression preserves dof according to 'center' argument ... ok
Test whether the F test yields meaningful results ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether k="all" correctly returns all features. ... ok
Test whether k=0 correctly returns no features. ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether the relative univariate feature selection ... ok
Test whether SelectKBest actually selects k features in case of ties. ... ok
Test if SelectPercentile selects the right n_features in case of ties. ... ok
Test whether k-best and percentiles work with tied pvalues from chi2. ... ok
Test for stable sorting in k-best with tied scores. ... ok
Assert that SelectKBest and SelectPercentile can handle 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_from_model.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok
Test VarianceThreshold with default setting, zero variance. ... ok
Test VarianceThreshold with custom variance. ... ok
MLE estimation of a one-dimensional Gaussian Process model. ... ok
MLE estimation of a two-dimensional Gaussian Process model accounting for ... ok
MLE estimation of a two-dimensional Gaussian Process model accounting for ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
Repeat test_1d and test_2d for several built-in correlation ... ok
Repeat test_1d and test_2d with given regression weights (beta0) for ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
Test that an increasing number of random-starts of GP fitting only ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/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
Test LinearRegression on a simple dataset. ... ok
Test assertions on betas shape. ... ok
Test that linear regression also works with sparse data ... ok
Test multiple-outcome linear regressions ... ok
Test multiple-outcome linear regressions with sparse data ... 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
Test output format of sparse_center_data, when input is csr ... ok
Test BayesianRidge on diabetes ... SKIP: XFailed Test
Test BayesianRidge on toy ... ok
Test BayesianRegression ARD classifier ... ok
Check that the lasso can handle zero data without crashing ... ok
Test Lasso on a toy example for various values of alpha. ... ok
Test ElasticNet for various parameters of alpha and l1_ratio. ... 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_multi_task_lasso_and_enet ... 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1540: 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
Principle of Lars is to keep covariances tied and decreasing ... ok
The same, with precomputed Gram matrix ... ok
Test that lars_path with precomputed Gram and Xy gives the right answer ... ok
Test that Lars gives least square solution at the end ... ok
Test that Lars Lasso gives least square solution at the end ... ok
Check that lars_path is robust to collinearity in input ... ok
Test that the ``return_path=False`` option returns the correct output ... ok
Test that the ``return_path=False`` option with Gram remains correct ... ok
Test that the ``return_path=False`` option with Gram and Xy remains correct ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
Test that LassoLars and Lasso using coordinate descent give the ... ok
Test that LassoLars and Lasso using coordinate descent give the ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... SKIP: skip unstable test on 32 bit arch
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_drop_for_good ... ok
assure that at least some features get added if necessary ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
Assure that estimators receiving multidimensional y do the right thing ... ok
Test the LassoLarsCV object by checking that the optimal alpha ... ok
Test the LassoLarsIC object by checking that ... ok
Simple sanity check on a 2 classes dataset ... ok
Test for appropriate exception on errors ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
Test logistic regression with the iris dataset ... ok
Test sparsify and densify members. ... ok
Test that an exception is raised on inconsistent input ... ok
Test that we can write to coef_ and intercept_ ... ok
Test proper NaN handling. ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_random_state ... 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:370: 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)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:361: RuntimeWarning:  Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.

  copy_Gram=copy_X, copy_Xy=False)
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_scaling_with_gram ... 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_cv ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:370: 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
Classifier can be retrained on different labels and features. ... 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_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
Check lasso stability path ... ok
Check randomized lasso ... ok
Check randomized sparse logistic regression ... /usr/lib/python2.7/dist-packages/numpy/lib/utils.py:134: DeprecationWarning: `fprob` is deprecated!
fprob is deprecated in scipy 0.14, use stats.f.sf or special.fdtrc instead

  warnings.warn(depdoc, DeprecationWarning)
ok
Check randomized sparse logistic regression on sparse data ... 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_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
Ridge regression convergence test using score ... 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
Test shape of coef_ and intercept_ ... ok
Test intercept with multiple targets GH issue #708 ... ok
Test BayesianRegression ridge classifier ... ok
On alpha=0., Ridge and OLS yield the same solution. ... ok
Tests the ridge object using individual penalties ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok
Test class weights. ... ok
Test class weights for cross validated ridge classifier. ... ok
Test _RidgeCV's store_cv_values attribute. ... ok
Check that Cholesky solver in feature space applies sample_weights ... ok
Sample weights must be either scalar or 1D ... ok
Sample weights must work with sparse matrices ... ok
Tests if DeprecationWarning is raised at instantiation of estimators ... ok
Tests whether a ValueError is raised if a non-identified solver ... ok
Checks coef_init not allowed as model argument (only fit) ... ok
Test class weights for imbalanced data ... ok
Test class weights. ... ok
Test whether clone works ok. ... ok
Test if equal class weights approx. equals no class weights. ... ok
Partial_fit should work after initial fit in the multiclass case. ... ok
Input format tests. ... ok
Test multiple calls of fit w/ different shaped inputs. ... 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
Checks coef_init shape for the warm starts ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
Test weights on individual samples ... ok
Checks coef_init and intercept_init shape for for multi-class ... ok
Checks intercept_ shape for the warm starts ... ok
Checks intercept_ shape for the warm starts in binary case ... ok
Checks intercept_ shape consistency for the warm starts ... ok
Check that SGD gives any results :-) ... ok
Target must have at least two labels ... ok
Check whether expected ValueError on bad alpha ... ok
Check whether expected ValueError on bad eta0 ... ok
Check whether expected ValueError on bad l1_ratio ... ok
Check whether expected ValueError on bad learning_rate ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... ok
Test L1 regularization ... ok
Multi-class test case ... ok
Multi-class test case with multi-core support ... ok
Multi-class test case ... ok
Test parameter validity check ... ok
Check SGD.predict_proba ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:747: RuntimeWarning: divide by zero encountered in log
  return np.log(self.predict_proba(X))
ok
Test parameter validity check ... 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
ValueError due to wrong class_weight argument type. ... ok
ValueError due to not existing class label. ... ok
Test if ValueError is raised if sample_weight has wrong shape ... ok
Test whether clone works ok. ... ok
Check that the SGD output is consistent with coordinate descent ... ok
Input format tests. ... 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
Check that SGD gives any results. ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... 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
Checks coef_init not allowed as model argument (only fit) ... ok
Test class weights for imbalanced data ... ok
Test class weights. ... ok
Test whether clone works ok. ... ok
Test if equal class weights approx. equals no class weights. ... ok
Partial_fit should work after initial fit in the multiclass case. ... ok
Input format tests. ... ok
Test multiple calls of fit w/ different shaped inputs. ... 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
Checks coef_init shape for the warm starts ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
Test weights on individual samples ... ok
Checks coef_init and intercept_init shape for for multi-class ... ok
Checks intercept_ shape for the warm starts ... ok
Checks intercept_ shape for the warm starts in binary case ... ok
Checks intercept_ shape consistency for the warm starts ... ok
Check that SGD gives any results :-) ... ok
Target must have at least two labels ... ok
Check whether expected ValueError on bad alpha ... ok
Check whether expected ValueError on bad eta0 ... ok
Check whether expected ValueError on bad l1_ratio ... ok
Check whether expected ValueError on bad learning_rate ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... ok
Test L1 regularization ... ok
Multi-class test case ... ok
Multi-class test case with multi-core support ... ok
Multi-class test case ... ok
Test parameter validity check ... ok
Check SGD.predict_proba ... ok
Test parameter validity check ... 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
ValueError due to wrong class_weight argument type. ... ok
ValueError due to not existing class label. ... ok
Test if ValueError is raised if sample_weight has wrong shape ... ok
Test whether clone works ok. ... ok
Check that the SGD output is consistent with coordinate descent ... ok
Input format tests. ... 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
Check that SGD gives any results. ... ok
Check whether expected ValueError on bad loss ... ok
Check whether expected ValueError on bad penalty ... 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
Test if l1 ratio extremes match L1 and L2 penalty settings. ... ok
sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok
Check that the sparse_coef propery works ... ok
Check that the normalize option in enet works ... ok
Check that the sparse lasso can handle zero data without crashing ... ok
Test ElasticNet for various values of alpha and l1_ratio with list X ... ok
Test ElasticNet for various values of alpha and l1_ratio with sparse ... 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.metrics.cluster.bicluster.tests.test_bicluster_metrics.test_jaccard ... ok
sklearn.metrics.cluster.bicluster.tests.test_bicluster_metrics.test_consensus_score ... 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
Check that adjusted scores are almost zero on random labels ... ok
Compute the Adjusted Mutual Information and test against known values ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
Check numerical stability when information is exactly zero ... ok
Check relation between v_measure, entropy and mutual information ... ok
Tests the Silhouette Coefficient. ... ok
Assert Silhouette Coefficient != nan when there is 1 sample in a class. ... /usr/lib/python2.7/dist-packages/numpy/core/_methods.py:55: RuntimeWarning: Mean of empty slice.
  warnings.warn("Mean of empty slice.", RuntimeWarning)
/usr/lib/python2.7/dist-packages/numpy/core/_methods.py:67: RuntimeWarning: invalid value encountered in double_scalars
  ret = ret.dtype.type(ret / rcount)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py:160: RuntimeWarning: invalid value encountered in maximum
  sil_samples = (B - A) / np.maximum(A, B)
ok
Assert 2 <= n_labels <= nsample -1 ... ok
sklearn.metrics.tests.test_metrics.test_matthews_corrcoef_nan ... ok
Test precision_recall_f1_score on a crafted multilabel example ... ok
Test precision_recall_f1_score on a crafted multilabel example 2 ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_f1_score_with_an_empty_prediction ... ok
Test precision, recall and F1 score behave with a single positive or ... ok
Test Area under Receiver Operating Characteristic (ROC) curve ... ok
sklearn.metrics.tests.test_metrics.test_roc_curve_end_points ... ok
Test whether the returned threshold matches up with tpr ... ok
Test to ensure that we don't return spurious repeating thresholds. ... ok
roc_curve not applicable for multi-class problems ... ok
roc_curve for confidence scores ... ok
roc_curve for hard decisions ... ok
sklearn.metrics.tests.test_metrics.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_metrics.test_roc_curve_toydata ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:909: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless
  UndefinedMetricWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:901: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless
  UndefinedMetricWarning)
ok
Test Area Under Curve (AUC) computation ... ok
sklearn.metrics.tests.test_metrics.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_metrics.test_auc_errors ... ok
Test that roc_auc_score function returns an error when trying ... ok
Test Precision Recall and F1 Score for binary classification task ... ok
Test that average_precision_score function returns an error when trying ... ok
sklearn.metrics.tests.test_metrics.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_metrics.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_fscore_support_errors ... ok
Test confusion matrix - binary classification case ... ok
Test Precision Recall and F1 Score for multiclass classification task ... ok
Test Precision Recall and F1 Score for multiclass classification task ... ok
Check that pathological cases do not bring NaNs ... ok
Test confusion matrix - multi-class case ... ok
Test confusion matrix - multi-class case with subset of labels ... ok
Test performance report ... ok
sklearn.metrics.tests.test_metrics.test_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_metrics.test_classification_report_multiclass_with_unicode_label ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_classification_report ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:469: DeprecationWarning: The multilabel parameter is deprecated as of version 0.15 and will be removed in 0.17. The parameter is no longer necessary because the value is automatically inferred.
  "inferred.", DeprecationWarning)
ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve_pos_label ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_metrics.test_precision_recall_curve_toydata ... ERROR
sklearn.metrics.tests.test_metrics.test_score_scale_invariance ... ok
Test loss functions ... ok
sklearn.metrics.tests.test_metrics.test_losses_at_limits ... ok
Test the symmetry of score and loss functions ... ok
sklearn.metrics.tests.test_metrics.test_sample_order_invariance ... ok
sklearn.metrics.tests.test_metrics.test_sample_order_invariance_multilabel_and_multioutput ... ok
sklearn.metrics.tests.test_metrics.test_format_invariance_with_1d_vectors ... ok
Ensure that classification metrics with string labels ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:1744: FutureWarning: In the future, providing two `labels` values, as well as `average` will average over those labels. For now, please use `labels=None` with `pos_label` to evaluate precision, recall and F-score for the positive label only.
  FutureWarning)
ok
sklearn.metrics.tests.test_metrics.test_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('matthews_corrcoef_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('samples_f0.5_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('samples_f1_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('samples_f2_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('samples_precision_score',) ... ok
sklearn.metrics.tests.test_metrics.test_single_sample('samples_recall_score',) ... ok
sklearn.metrics.tests.test_metrics.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_regression ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_metrics.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_zero_one_loss_subset ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
ok
sklearn.metrics.tests.test_metrics.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_metrics.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_multiclasss_classification ... ok
sklearn.metrics.tests.test_metrics.test_normalize_option_multilabel_classification ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
ok
sklearn.metrics.tests.test_metrics.test_precision_recall_f1_no_labels ... ok
sklearn.metrics.tests.test_metrics.test_prf_warnings ... ok
sklearn.metrics.tests.test_metrics.test_recall_warnings ... ok
sklearn.metrics.tests.test_metrics.test_precision_warnings ... ok
sklearn.metrics.tests.test_metrics.test_fscore_warnings ... ok
Check that _check_clf_targets correctly merges target types, squeezes ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
ok
sklearn.metrics.tests.test_metrics.test__check_reg_targets ... ok
sklearn.metrics.tests.test_metrics.test_log_loss ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multiclass('precision_score', array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multiclass('recall_score', array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multiclass('f1_score', array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multiclass('f2_score', array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multiclass('f0.5_score', array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('precision_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('recall_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('f1_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('f2_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 1, 0], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0.,  0.,  0.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_ones('precision_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_ones('recall_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_ones('f1_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_ones('f2_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_metrics.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1.,  1.,  1.], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f1_score', <function f1_score at 0xb4efe6b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('precision_score', <function precision_score at 0xb4efe7b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb41ee540>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb41ee7e0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb41ee5a0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb41ee840>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb41ee4b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb41ee780>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb4efe930>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb4efe8b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb41ee630>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb41ee690>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4efe8f0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb41ee510>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb41ee660>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb41ee6c0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb41ee600>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb41ee6f0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('r2_score', <function r2_score at 0xb4efe970>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb41ee570>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb4efe5b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb41ee5d0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb41ee720>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4efe670>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb41ee810>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('recall_score', <function recall_score at 0xb4efe7f0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb41ee7b0>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb41ee750>, array([0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f1_score', <function f1_score at 0xb4efe6b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('precision_score', <function precision_score at 0xb4efe7b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb41ee540>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb41ee7e0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb41ee5a0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb41ee840>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb41ee4b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb41ee780>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb4efe930>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb4efe8b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb41ee630>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb41ee690>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4efe8f0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb41ee510>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb41ee660>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb41ee6c0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb41ee600>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb41ee6f0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('r2_score', <function r2_score at 0xb4efe970>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb41ee570>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb4efe5b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb41ee5d0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb41ee720>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4efe670>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb41ee810>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('recall_score', <function recall_score at 0xb4efe7f0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb41ee7b0>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb41ee750>, array([2, 2, 0, 2, 1, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 0, 2, 2, 1, 0, 2, 1, 2, ... ok
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:350: DeprecationWarning: Support for the sequence of sequences multilabel representation is being deprecated and replaced with a sparse indicator matrix. return_indicator will default to True from version 0.17.
  DeprecationWarning)
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4efe670>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb41ee4b0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb4efe5b0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb41ee510>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('precision_score', <function precision_score at 0xb4efe7b0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('recall_score', <function recall_score at 0xb4efe7f0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f1_score', <function f1_score at 0xb4efe6b0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb41ee540>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb41ee570>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb41ee5a0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb41ee5d0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb41ee600>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb41ee630>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb41ee660>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb41ee690>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb41ee6c0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb41ee6f0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb41ee720>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb41ee750>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb41ee780>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb41ee7b0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb41ee7e0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb41ee810>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb41ee840>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f0.5_score', <functools.partial object at 0xb41ee870>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f1_score', <functools.partial object at 0xb41ee8a0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f2_score', <functools.partial object at 0xb41ee8d0>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_precision_score', <functools.partial object at 0xb41ee900>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_recall_score', <functools.partial object at 0xb41ee930>, ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1], [0, 1], [1, 0], [1, 0, 2], [], [1, 0], [0, 1, 2], [1, 0], [], [1, 0, 2]), ([1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2], [1, 0, 2], [1, 0], [1], [0], [0], [2], [0, 1], [1, 0], [1, 2], [1, 0, 2])) ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb4efe670>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb41ee4b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb4efe5b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb41ee510>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('precision_score', <function precision_score at 0xb4efe7b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('recall_score', <function recall_score at 0xb4efe7f0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f1_score', <function f1_score at 0xb4efe6b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb41ee540>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb41ee570>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb41ee5a0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb41ee5d0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb41ee600>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb41ee630>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb41ee660>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb41ee690>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb41ee6c0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb41ee6f0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb41ee720>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb41ee750>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb41ee780>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb41ee7b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb41ee7e0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb41ee810>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb41ee840>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f0.5_score', <functools.partial object at 0xb41ee870>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f1_score', <functools.partial object at 0xb41ee8a0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_f2_score', <functools.partial object at 0xb41ee8d0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_precision_score', <functools.partial object at 0xb41ee900>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_recall_score', <functools.partial object at 0xb41ee930>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('roc_auc_score', <function roc_auc_score at 0xb4efe430>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_roc_auc', <functools.partial object at 0xb41ee960>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_roc_auc', <functools.partial object at 0xb41ee990>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_roc_auc', <functools.partial object at 0xb41ee9c0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_roc_auc', <functools.partial object at 0xb41ee9f0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('average_precision_score', <function average_precision_score at 0xb4efe330>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('weighted_average_precision_score', <functools.partial object at 0xb41eea20>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('samples_average_precision_score', <functools.partial object at 0xb41eea50>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('micro_average_precision_score', <functools.partial object at 0xb41eea80>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('macro_average_precision_score', <functools.partial object at 0xb41eeab0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb4efe8b0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4efe8f0>, array([[0, 1, 1, 0, 0, 0], ... ok
sklearn.metrics.tests.test_metrics.test_sample_weight_invariance('r2_score', <function r2_score at 0xb4efe970>, array([[0, 1, 1, 0, 0, 0], ... ok
Test the pairwise_distance helper function. ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel ... ok
Test the pairwise_kernels helper function. ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
Test the pairwise_distance helper function. ... ok
Check pairwise minimum distances computation for any metric ... ok
Check the pairwise Euclidean distances computation ... ok
Check the paired Euclidean distances computation ... ok
Check the paired manhattan distances computation ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
Valid kernels should be symmetric ... 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
Test the cosine_similarity. ... ok
Ensure that pairwise array check works for dense matrices. ... ok
Ensure that if XA and XB are given correctly, they return as equal. ... ok
Ensure an error is raised if the dimensions are different. ... ok
Ensure an error is raised on 1D input arrays. ... ok
Ensures that checks return valid sparse matrices. ... ok
Ensures that checks return valid tuples. ... ok
Ensures that type float32 is preserved. ... ok
Test all branches of check_scoring ... ok
Sanity check on the make_scorer factory function. ... ok
Test classification scorers. ... ok
Test regression scorers. ... ok
Test scorers that take thresholds. ... ok
Test that the scorer work with multilabel-indicator format ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
ok
Test clustering scorers against gold standard labeling. ... ok
Test that when a list of scores is returned, we raise proper errors. ... 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) ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:340: RuntimeWarning: underflow encountered in exp
  out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:39: RuntimeWarning: underflow encountered in exp
  v = np.exp(v - out)
ok
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:316: 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... 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
Train on 1-D data ... ok
Train on degenerate data with 0 in some dimensions ... ok
Test sample generation from mixture.sample_gaussian where covariance ... ok
test a slow and naive implementation of lmvnpdf and ... 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_GMM_attributes ... ok
Test that multiple inits does not much worse than a single one ... ok
Test that the right number of parameters is estimated ... ok
Test the aic and bic criteria ... ok
Test l1_min_c loss='l2' dense multi-class no-intercept ... ok
Test l1_min_c loss='l2' dense multi-class fit-intercept ... ok
Test l1_min_c loss='l2' dense two-classes no-intercept ... ok
Test l1_min_c loss='l2' dense two-classes fit-intercept ... ok
Test l1_min_c loss='l2' sparse multi-class no-intercept ... ok
Test l1_min_c loss='l2' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='l2' sparse two-classes no-intercept ... ok
Test l1_min_c loss='l2' 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_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
Test the sparse SVC with the iris dataset ... ok
Test that it gives proper exception on deficient input ... ok
Similar to test_SVC ... ok
Test the sparse LinearSVC with the iris dataset ... ok
Test class weights ... ok
Test weights on individual samples ... ok
Test that sparse liblinear honours intercept_scaling param ... ok
Test on a subset from the 20newsgroups dataset. ... 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/base.py:204: ConvergenceWarning: Solver terminated early (max_iter=1).  Consider pre-processing your data with StandardScaler or MinMaxScaler.
  % self.max_iter, ConvergenceWarning)
ok
Test parameters on classes that make use of libsvm. ... ok
Check consistency on dataset iris. ... ok
Test whether SVCs work on a single sample given as a 1-d array ... ok
SVC with a precomputed kernel. ... ok
Test Support Vector Regression ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
Test OneClassSVM ... ok
Test OneClassSVM decision function ... ok
Make sure some tweaking of parameters works. ... ok
Predict probabilities using SVC ... ok
Test decision_function ... ok
Test class weights ... ok
Test weights on individual samples ... ok
Test class weights for imbalanced data ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:1771: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
  'precision', 'predicted', average, warn_for)
ok
Test that it gives proper exception on deficient input ... ok
sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok
Test possible parameter combinations in LinearSVC ... ok
Test basic routines using LinearSVC ... ok
Test LinearSVC with crammer_singer multi-class svm ... ok
Test Crammer-Singer formulation in the binary case ... ok
Test that LinearSVC gives plausible predictions on the iris dataset ... ok
Test that dense liblinear honours intercept_scaling param ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
Check that primal coef modification are not silently ignored ... ok
sklearn.svm.tests.test_svm.test_inheritance ... 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_consistent_proba ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/svm/base.py:204: ConvergenceWarning: Solver terminated early (max_iter=1).  Consider pre-processing your data with StandardScaler or MinMaxScaler.
  % self.max_iter, ConvergenceWarning)
ok
Check correctness of export_graphviz ... ok
Check for errors of export_graphviz ... ok
Check classification on a toy dataset. ... ok
Check classification on a weighted toy dataset. ... ok
Check regression on a toy dataset. ... ok
Check on a XOR problem ... ok
Check consistency on dataset iris. ... ok
Check consistency on dataset boston house prices. ... ok
Predict probabilities using DecisionTreeClassifier. ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:562: RuntimeWarning: divide by zero encountered in log
  return np.log(proba)
ok
Check the array representation. ... ok
Check when y is pure. ... ok
Check numerical stability. ... ok
Check variable importances. ... ok
Check if variable importance before fit raises ValueError. ... ok
Check that gini is equivalent to mse for binary output variable ... ok
Check max_features. ... ok
Test that it gives proper exception on deficient input. ... ok
Test if leaves contain more than leaf_count training examples ... ok
Check that tree estimator are pickable ... ok
Check estimators on multi-output problems. ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:566: RuntimeWarning: divide by zero encountered in log
  proba[k] = np.log(proba[k])
ok
Test that n_classes_ and classes_ have proper shape. ... ok
Check class rebalancing. ... ok
Check that it works no matter the memory layout ... ok
Check sample weighting. ... ok
Check sample weighting raises errors. ... ok
Test greedy trees with max_depth + 1 leafs. ... ok
Test preceedence of max_leaf_nodes over max_depth. ... ok
Ensure property arrays' memory stays alive when tree disappears ... ok
sklearn.tree.tests.test_tree.test_only_constant_features ... ok
sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok
Test if the warning for too large inputs is appropriate. ... ok
sklearn.tree.tests.test_tree.test_memoryerror ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
Test (and demo) compute_class_weight. ... ok
Raise error when y does not contain all class labels ... ok
Test compute_class_weight when labels are negative ... ok
Test compute_class_weight when classes are unordered ... 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
Check that extmath.randomized_svd is consistent with linalg.svd ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok
sklearn.utils.tests.test_extmath.test_row_norms ... ok
Check that extmath.randomized_svd can handle noisy matrices ... ok
Check that extmath.randomized_svd can handle noisy matrices ... ok
Check that transposing the design matrix has limit impact ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
Check if cartesian product delivers the right results ... ok
Check correctness and robustness of logistic sigmoid implementation ... ok
Check fast dot blas wrapper function ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok
Check numerical stability of expit (logistic function). ... ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_is_label_indicator_matrix ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok
Test unique_labels with a variety of collected examples ... ok
sklearn.utils.tests.test_multiclass.test_is_sequence_of_sequences ... 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_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... 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_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
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_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
Check the check_random_state utility function behavior ... ok
Border case not worth mentioning in doctests ... ok
Test whether the deprecated decorator issues appropriate warnings ... ok
Check that invalid arguments yield ValueError ... 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
Test that array dtype conversion works. ... ok
Test function for as_float_array ... ok
sklearn.utils.tests.test_validation.test_atleast2d_or_sparse ... ok
Check that invalid arguments raise appropriate exceptions ... ok
Confirm that input validation code does not return np.matrix ... ok
Confirm that input validation code doesn't copy memory mapped arrays ... ok
Check that ordering is enforced correctly by validation utilities. ... ok
sklearn.utils.tests.test_validation.test_check_arrays ... ok
Tests that clone creates a correct deep copy. ... ok
Tests that clone doesn't copy everything. ... ok
Check that clone raises an error on buggy estimators. ... ok
Regression test for cloning estimators with empty arrays ... ok
Smoke test the repr of the base estimator. ... ok
Smoke test the str of the base estimator ... 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_check_build.test_raise_build_error ... ok
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/feature_selection/selector_mixin.py:7: DeprecationWarning: sklearn.feature_selection.selector_mixin.SelectorMixin has been renamed sklearn.feature_selection.from_model._LearntSelectorMixin, and this alias will be removed in version 0.16
  DeprecationWarning)
sklearn.tests.test_common.test_all_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaseEnsemble', <class 'sklearn.ensemble.base.BaseEnsemble'>) ... ok
sklearn.tests.test_common.test_all_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_all_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('CountVectorizer', <class 'sklearn.feature_extraction.text.CountVectorizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_all_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_all_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_all_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('GMMHMM', <class 'sklearn.hmm.GMMHMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianHMM', <class 'sklearn.hmm.GaussianHMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('HashingVectorizer', <class 'sklearn.feature_extraction.text.HashingVectorizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_all_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_all_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('LDA', <class 'sklearn.lda.LDA'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogOddsEstimator', <class 'sklearn.ensemble.gradient_boosting.LogOddsEstimator'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_all_estimators('MeanEstimator', <class 'sklearn.ensemble.gradient_boosting.MeanEstimator'>) ... ok
sklearn.tests.test_common.test_all_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultinomialHMM', <class 'sklearn.hmm.MultinomialHMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_all_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_all_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsOneClassifier', <class 'sklearn.multiclass.OneVsOneClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsRestClassifier', <class 'sklearn.multiclass.OneVsRestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('OutputCodeClassifier', <class 'sklearn.multiclass.OutputCodeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('PatchExtractor', <class 'sklearn.feature_extraction.image.PatchExtractor'>) ... ok
sklearn.tests.test_common.test_all_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_all_estimators('PriorProbabilityEstimator', <class 'sklearn.ensemble.gradient_boosting.PriorProbabilityEstimator'>) ... ok
sklearn.tests.test_common.test_all_estimators('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('QDA', <class 'sklearn.qda.QDA'>) ... ok
sklearn.tests.test_common.test_all_estimators('QuantileEstimator', <class 'sklearn.ensemble.gradient_boosting.QuantileEstimator'>) ... ok
sklearn.tests.test_common.test_all_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFE', <class 'sklearn.feature_selection.rfe.RFE'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFECV', <class 'sklearn.feature_selection.rfe.RFECV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_all_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralBiclustering', <class 'sklearn.cluster.bicluster.spectral.SpectralBiclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralCoclustering', <class 'sklearn.cluster.bicluster.spectral.SpectralCoclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_all_estimators('TfidfVectorizer', <class 'sklearn.feature_extraction.text.TfidfVectorizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_all_estimators('Ward', <class 'sklearn.cluster.hierarchical.Ward'>) ... ok
sklearn.tests.test_common.test_all_estimators('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>) ... ok
sklearn.tests.test_common.test_all_estimators('ZeroEstimator', <class 'sklearn.ensemble.gradient_boosting.ZeroEstimator'>) ... ok
sklearn.tests.test_common.test_all_estimators('_BaseHMM', <class 'sklearn.hmm._BaseHMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('_BaseRidgeCV', <class 'sklearn.linear_model.ridge._BaseRidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('_ConstantPredictor', <class 'sklearn.multiclass._ConstantPredictor'>) ... ok
sklearn.tests.test_common.test_all_estimators('_RidgeGCV', <class 'sklearn.linear_model.ridge._RidgeGCV'>) ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:490: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations
  ConvergenceWarning)
ok
sklearn.tests.test_common.test_estimators_sparse_data('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LDA', <class 'sklearn.lda.LDA'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, <40x10 sparse matrix of type '<type 'numpy.float32'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('QDA', <class 'sklearn.qda.QDA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:124: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_estimators_sparse_data('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('SVC', <class 'sklearn.svm.classes.SVC'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_sparse_data('SVR', <class 'sklearn.svm.classes.SVR'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... SKIP: CCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_transformers('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... /usr/lib/python2.7/dist-packages/numpy/lib/utils.py:134: DeprecationWarning: `fprob` is deprecated!
fprob is deprecated in scipy 0.14, use stats.f.sf or special.fdtrc instead

  warnings.warn(depdoc, DeprecationWarning)
ok
sklearn.tests.test_common.test_transformers('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_transformers('LDA', <class 'sklearn.lda.LDA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_transformers('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('NMF', <class 'sklearn.decomposition.nmf.NMF'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:443: 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_transformers('PCA', <class 'sklearn.decomposition.pca.PCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_import_all_consistency ... ok
sklearn.tests.test_common.test_transformers_sparse_data('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... /usr/lib/python2.7/dist-packages/numpy/lib/utils.py:134: DeprecationWarning: `fprob` is deprecated!
fprob is deprecated in scipy 0.14, use stats.f.sf or special.fdtrc instead

  warnings.warn(depdoc, DeprecationWarning)
ok
sklearn.tests.test_common.test_transformers_sparse_data('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('LDA', <class 'sklearn.lda.LDA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('NMF', <class 'sklearn.decomposition.nmf.NMF'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:443: 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_transformers_sparse_data('PCA', <class 'sklearn.decomposition.pca.PCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py:670: DeprecationWarning: Sparse matrix support is deprecated in 0.15 and will be dropped in 0.17. In particular computed explained variance is incorrect on sparse data. Use TruncatedSVD instead.
  DeprecationWarning)
ok
sklearn.tests.test_common.test_transformers_sparse_data('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_transformers_sparse_data('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, <40x10 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LDA', <class 'sklearn.lda.LDA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NMF', <class 'sklearn.decomposition.nmf.NMF'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PCA', <class 'sklearn.decomposition.pca.PCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('QDA', <class 'sklearn.qda.QDA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SVC', <class 'sklearn.svm.classes.SVC'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SVR', <class 'sklearn.svm.classes.SVR'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Ward', <class 'sklearn.cluster.hierarchical.Ward'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[        nan,  0.77423369,  0.45615033], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LDA', <class 'sklearn.lda.LDA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NMF', <class 'sklearn.decomposition.nmf.NMF'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PCA', <class 'sklearn.decomposition.pca.PCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('QDA', <class 'sklearn.qda.QDA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SVC', <class 'sklearn.svm.classes.SVC'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SVR', <class 'sklearn.svm.classes.SVR'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('Ward', <class 'sklearn.cluster.hierarchical.Ward'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_estimators_nan_inf('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[        inf,  0.11037514,  0.65632959], ... ok
sklearn.tests.test_common.test_transformers_pickle('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:293: UserWarning: X scores are null at iteration 1
  warnings.warn('X scores are null at iteration %s' % k)
ok
sklearn.tests.test_common.test_transformers_pickle('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('LDA', <class 'sklearn.lda.LDA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('NMF', <class 'sklearn.decomposition.nmf.NMF'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('PCA', <class 'sklearn.decomposition.pca.PCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_transformers_pickle('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[ 2.51189522,  2.6430893 ,  2.54847718], ... ok
sklearn.tests.test_common.test_classifiers_one_label('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('LDA', <class 'sklearn.lda.LDA'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('QDA', <class 'sklearn.qda.QDA'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_classifiers_one_label('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 0.5488135 ,  0.71518937,  0.60276338], ... ok
sklearn.tests.test_common.test_clustering('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_clustering('Ward', <class 'sklearn.cluster.hierarchical.Ward'>, array([[  6.86617933e-02,  -1.24957601e-01,   7.62758643e-01, ... ok
sklearn.tests.test_common.test_classifiers_train('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LDA', <class 'sklearn.lda.LDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('QDA', <class 'sklearn.qda.QDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LDA', <class 'sklearn.lda.LDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('QDA', <class 'sklearn.qda.QDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_train('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_classes('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LDA', <class 'sklearn.lda.LDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('QDA', <class 'sklearn.qda.QDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LDA', <class 'sklearn.lda.LDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('QDA', <class 'sklearn.qda.QDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_classes('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('LDA', <class 'sklearn.lda.LDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('QDA', <class 'sklearn.qda.QDA'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_input_shapes('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ -5.25060772e-02,   2.18907205e+00,  -1.45500381e+00, ... ok
sklearn.tests.test_common.test_classifiers_pickle('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LDA', <class 'sklearn.lda.LDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('QDA', <class 'sklearn.qda.QDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LDA', <class 'sklearn.lda.LDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('QDA', <class 'sklearn.qda.QDA'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_classifiers_pickle('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 0.49674972, -1.24690069], ... ok
sklearn.tests.test_common.test_regressors_int('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_int('SVR', <class 'sklearn.svm.classes.SVR'>, array([[-0.44836249, -0.47282444, -1.20608008, -0.27435163, -0.81468082, ... ok
sklearn.tests.test_common.test_regressors_train('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_train('SVR', <class 'sklearn.svm.classes.SVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressor_pickle('SVR', <class 'sklearn.svm.classes.SVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_configure ... ok
sklearn.tests.test_common.test_class_weight_classifiers('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 19.19187976, -12.12284821], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[  9.97540177, -20.96356651], ... ok
sklearn.tests.test_common.test_class_weight_classifiers('SVC', <class 'sklearn.svm.classes.SVC'>, array([[  9.97540177, -20.96356651], ... ok
Failure: SkipTest (This test requires redefinition) ... SKIP: This test requires redefinition
sklearn.tests.test_common.test_estimators_overwrite_params('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LDA', <class 'sklearn.lda.LDA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('QDA', <class 'sklearn.qda.QDA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SVC', <class 'sklearn.svm.classes.SVC'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SVR', <class 'sklearn.svm.classes.SVR'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Isomap', <class 'sklearn.manifold.isomap.Isomap'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LDA', <class 'sklearn.lda.LDA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[ 6.89619908,  5.09923251], ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py:1201: RuntimeWarning: init_size=3 should be larger than k=8. Setting it to 3*k
  init_size=init_size)
ok
sklearn.tests.test_common.test_estimators_overwrite_params('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('NMF', <class 'sklearn.decomposition.nmf.NMF'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('PCA', <class 'sklearn.decomposition.pca.PCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ProbabilisticPCA', <class 'sklearn.decomposition.pca.ProbabilisticPCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_estimators_overwrite_params('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[ 6.89619908,  5.09923251], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('Ward', <class 'sklearn.cluster.hierarchical.Ward'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_cluster_overwrite_params('WardAgglomeration', <class 'sklearn.cluster.hierarchical.WardAgglomeration'>, array([[ 2.81630525,  1.01933868], ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
Test if predict with sparsified estimators works. ... ok
sklearn.tests.test_common.test_regressors_not_an_array('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... SKIP
sklearn.tests.test_common.test_regressors_not_an_array('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('Lars', <class 'sklearn.linear_model.least_angle.Lars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('NuSVR', <class 'sklearn.svm.classes.NuSVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... SKIP
sklearn.tests.test_common.test_regressors_not_an_array('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... SKIP
sklearn.tests.test_common.test_regressors_not_an_array('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_regressors_not_an_array('SVR', <class 'sklearn.svm.classes.SVR'>, array([[-0.44836249, -0.47282444, -1.20608008, ..., -0.75500806, ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('LDA', <class 'sklearn.lda.LDA'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('NuSVC', <class 'sklearn.svm.classes.NuSVC'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('QDA', <class 'sklearn.qda.QDA'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>, array([[3, 0], ... ok
sklearn.tests.test_common.test_classifiers_not_an_array('SVC', <class 'sklearn.svm.classes.SVC'>, array([[3, 0], ... 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_bootstrap_errors ... ok
sklearn.tests.test_cross_validation.test_bootstrap_test_sizes ... ok
sklearn.tests.test_cross_validation.test_cross_indices_exception ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_mask_indices_same ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter_no_indices ... 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_kfold_can_detect_dependent_samples_on_digits ... 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
Check that LeaveOneLabelOut and LeavePLabelOut work normally if ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_mask ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:65: DeprecationWarning: The indices parameter is deprecated and will be removed (assumed True) in 0.17
  stacklevel=1)
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.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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:1771: 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.tests.test_cross_validation.test_cross_val_generator_with_mask ... 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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py:194: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
ok
sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok
sklearn.tests.test_dummy.test_most_frequent_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_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_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
Test basic properties of ParameterGrid. ... ok
Test that the best estimator contains the right value for foo_param ... [Parallel(n_jobs=1)]: Done   1 jobs       | elapsed:    0.0s
[Parallel(n_jobs=1)]: Done   9 out of   9 | elapsed:    0.0s finished
ok
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
Test search over a "grid" with only one point. ... ok
Test that grid search can be used for model selection only ... ok
Test that grid search will capture errors on data with different ... 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
Test that grid search works with both dense and sparse matrices ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_deprecated_score_func ... ok
Test that grid search works when the input features are given in the ... ok
Test that grid search returns an error with a non-square precomputed ... ok
Test that grid search returns an error when using a kernel_function ... ok
Regression test for bug in refitting ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:1771: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples.
  'precision', 'predicted', average, warn_for)
ok
Pass X as list in GridSearchCV ... ok
Pass y as list in GridSearchCV ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok
sklearn.tests.test_grid_search.test_bad_estimator ... 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
Test that a fit search can be pickled ... ok
Test search with multi-output estimator ... ok
Test predict_proba when disabled on estimator. ... ok
Test GridSearchCV with Imputer ... ok
test_attributes (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:75: DeprecationWarning: Class _BaseHMM is deprecated; WARNING: The HMM module and its function will be removed in 0.17as it no longer falls within the project's scope and API. It has been moved to a separate repository: https://github.com/hmmlearn/hmmlearn
  warnings.warn(msg, category=DeprecationWarning)
ok
test_decode_map_algorithm (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_fit (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function normalize is deprecated; WARNING: The HMM module and its functions will be removed in 0.17 as it no longer falls within the project's scope and API. It has been moved to a separate repository: https://github.com/hmmlearn/hmmlearn
  warnings.warn(msg, category=DeprecationWarning)
ok
test_fit_emissionprob (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_fit_with_init (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_predict (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_sample (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_score_samples (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_set_emissionprob (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_wikipedia_viterbi_example (sklearn.tests.test_hmm.MultinomialHMMTestCase) ... ok
test_base_hmm_attributes (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_backward_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_forward_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_do_viterbi_pass (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_hmm_decode_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_hmm_score_samples_consistent_with_gmm (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_init (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_score_samples (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_set_startprob (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_set_transmat (sklearn.tests.test_hmm.TestBaseHMM) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/hmm.py:1265: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  cvnorm.shape = shape
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/hmm.py:1288: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
  cvnorm.shape = shape
SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_means (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_startprob_and_transmat (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithDiagCovars) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithFullCovars) ... ok
test_attributes (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... SKIP: Unstable test: trainll is not always increasing depending on seed
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGMMHMMWithTiedCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_with_length_one_signal (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithDiagonalCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_with_length_one_signal (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithFullCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_startprob_and_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_with_length_one_signal (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithSphericalCovars) ... ok
test_bad_covariance_type (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_non_ergodic_transmat (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_with_length_one_signal (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_with_priors (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_fit_works_on_sequences_of_different_length (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_sample (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
test_score_samples_and_decode (sklearn.tests.test_hmm.TestGaussianHMMWithTiedCovars) ... ok
sklearn.tests.test_hmm.test_normalize_1D ... ok
sklearn.tests.test_hmm.test_normalize_3D ... ok
Test either above import has failed for some reason ... 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_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_fit_weight_deprecation ... ok
sklearn.tests.test_isotonic.test_isotonic_fit_transform_weight_deprecation ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_weight_deprecation ... ok
test that AdditiveChi2Sampler approximates kernel on random data ... ok
test that RBFSampler approximates kernel on random data ... ok
test that RBFSampler approximates kernel on random data ... ok
Regression test: kernel approx. transformers should work on lists ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
Non-regression: Nystroem should pass other parameters beside gamma. ... ok
Test Nystroem on a callable. ... ok
LDA classification. ... ok
sklearn.tests.test_lda.test_lda_transform ... ok
sklearn.tests.test_lda.test_lda_orthogonality ... 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   1 jobs       | elapsed:    0.0s
[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 ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:65: DeprecationWarning: The indices parameter is deprecated and will be removed (assumed True) in 0.17
  stacklevel=1)
ok
sklearn.tests.test_learning_curve.test_validation_curve ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
Test that ovr works with classes that are always present or absent ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.tests.test_multiclass.test_ovr_multilabel ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:636: DeprecationWarning: Direct support for sequence of sequences multilabel representation will be unavailable from version 0.17. Use sklearn.preprocessing.MultiLabelBinarizer to convert to a label indicator representation.
  DeprecationWarning)
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py:93: DeprecationWarning: Function multilabel_ is deprecated; Attribute multilabel_ is deprecated and will be removed in 0.17. Use 'y_type_.startswith('multilabel')' instead
  warnings.warn(msg, category=DeprecationWarning)
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_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_predict ... 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
Test that the OvO doesn't screw the encoding of string labels ... 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
Gaussian Naive Bayes classification. ... ok
Test whether class priors are properly set. ... ok
Test whether class priors are properly set. ... ok
Test Multinomial Naive Bayes classification. ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:200: 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(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
Test picklability of discrete naive Bayes classifiers ... ok
Test input checks for the fit method ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok
Test discrete NB classes' probability scores ... ok
Test whether discrete NB classes fit a uniform prior ... ok
Test whether discrete NB classes use provided prior ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
coef_ and intercept_ should have shapes as in other linear models. ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok
Test the various init parameters of the pipeline. ... ok
Test the various methods of the pipeline (anova). ... /usr/lib/python2.7/dist-packages/numpy/lib/utils.py:134: DeprecationWarning: `fprob` is deprecated!
fprob is deprecated in scipy 0.14, use stats.f.sf or special.fdtrc instead

  warnings.warn(depdoc, DeprecationWarning)
ok
Test that the pipeline can take fit parameters ... ok
Test the various methods of the pipeline (pca + svm). ... ok
Test the various methods of the pipeline (preprocessing + svm). ... 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
QDA classification. ... ok
sklearn.tests.test_qda.test_qda_priors ... ok
sklearn.tests.test_qda.test_qda_store_covariances ... ok
sklearn.tests.test_qda.test_qda_regularization ... /build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:124: UserWarning: Variables are collinear
  warnings.warn("Variables are collinear")
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:146: RuntimeWarning: divide by zero encountered in power
  X2 = np.dot(Xm, R * (S ** (-0.5)))
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:146: RuntimeWarning: invalid value encountered in multiply
  X2 = np.dot(Xm, R * (S ** (-0.5)))
/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/qda.py:149: RuntimeWarning: divide by zero encountered in log
  return (-0.5 * (norm2 + np.sum(np.log(self.scalings_), 1))
ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
Check basic properties of random matrix generation ... ok
Check some statical properties of Gaussian random matrix ... ok
Check some statical properties of 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

======================================================================
ERROR: sklearn.metrics.tests.test_metrics.test_precision_recall_curve_toydata
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "/build/buildd/scikit-learn-0.15.2/debian/python-sklearn/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_metrics.py", line 1226, in test_precision_recall_curve_toydata
    raise SkipTest("no precision-related exceptions get issued on armel")
NameError: global name 'SkipTest' is not defined

----------------------------------------------------------------------
Ran 2753 tests in 415.345s

FAILED (SKIP=24, errors=1)
debian/rules:45: recipe for target 'python-test2.7' failed
make[1]: *** [python-test2.7] Error 1
make[1]: Leaving directory '/build/buildd/scikit-learn-0.15.2'
debian/rules:23: recipe for target 'binary-arch' failed
make: *** [binary-arch] Error 2
dpkg-buildpackage: error: /usr/bin/fakeroot debian/rules binary-arch gave error exit status 2
******************************************************************************
Build finished at 20141224-0837
FAILED [dpkg-buildpackage died]
******************************************************************************
Finished at 20141224-0837
Build needed 00:17:56, 93008k disk space
RUN: /usr/share/launchpad-buildd/slavebin/scan-for-processes ['scan-for-processes', 'PACKAGEBUILD-6670178']
Scanning for processes to kill in build /home/buildd/build-PACKAGEBUILD-6670178/chroot-autobuild...
RUN: /usr/share/launchpad-buildd/slavebin/umount-chroot ['umount-chroot', 'PACKAGEBUILD-6670178']
Unmounting chroot for build PACKAGEBUILD-6670178...
RUN: /usr/share/launchpad-buildd/slavebin/remove-build ['remove-build', 'PACKAGEBUILD-6670178']
Removing build PACKAGEBUILD-6670178