liblinear 1.8+dfsg-5 source package in Ubuntu

Changelog

liblinear (1.8+dfsg-5) unstable; urgency=medium

  * Add package python3-liblinear.
  * debian/control:
    - Bump Standards-Version to 3.9.6 (no changes needed)
    - Drop XS-Testsuite. dpkg now recognizes the Testsuite header, and
      dpkg-source automatically adds one when an autopkgtest suite is found
    - Add Build-Depends for dh-python
    - Add Build-Depends for python3-all-dev
    - Add X-Python3-Version of 3.0
  * debian/rules:
    - Make dh also build with dh_python3
  * debian/liblinear1.symbols: Mark symbol optimized away by GCC 5 as optional,
    thereby fixing a FTBFS. Closes: #790248
  * debian/copyright:
    - Bump copyright years

 -- Christian Kastner <email address hidden>  Wed, 22 Jul 2015 17:11:54 +0200

Upload details

Uploaded by:
Christian Kastner
Uploaded to:
Sid
Original maintainer:
Christian Kastner
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
liblinear_1.8+dfsg-5.dsc 2.3 KiB b6b6fdf305313602d297c76cb52532a2f66d367338a7edbfd116181d12837b85
liblinear_1.8+dfsg.orig.tar.gz 43.5 KiB 99f2ff19dd3a4c8cf33b326595449ada6524fd7e8155ed951d12821e428db70d
liblinear_1.8+dfsg-5.debian.tar.xz 11.7 KiB 983a2bb05718ad9c7cd137b4809e361089424e41b67861d4f20db01da07d637d

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Binary packages built by this source

liblinear-dbg: Debugging symbols for LIBLINEAR

 LIBLINEAR is a library for learning linear classifiers for large scale
 applications. It supports Support Vector Machines (SVM) with L2 and L1
 loss, logistic regression, multi class classification and also Linear
 Programming Machines (L1-regularized SVMs). Its computational complexity
 scales linearly with the number of training examples making it one of
 the fastest SVM solvers around. It also provides Python bindings.
 .
 This package contains the debugging symbols.

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python-liblinear: Python bindings for LIBLINEAR

 LIBLINEAR is a library for learning linear classifiers for large scale
 applications. It supports Support Vector Machines (SVM) with L2 and L1
 loss, logistic regression, multi class classification and also Linear
 Programming Machines (L1-regularized SVMs). Its computational complexity
 scales linearly with the number of training examples making it one of
 the fastest SVM solvers around. It also provides Python bindings.
 .
 This package contains the Python bindings.

python3-liblinear: No summary available for python3-liblinear in ubuntu wily.

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