liblinear 2.1.0+dfsg-4 source package in Ubuntu

Changelog

liblinear (2.1.0+dfsg-4) unstable; urgency=medium

  * Fix copy-pasta in Vcs-* URLs (pointed to wrong project)
  * Move Python build dependencies to Build-Depends-Indep.
    Fixes a FTCBFS. Thanks, Helmut Grohne! Closes: #913244
  * Drop d/*.dirs, the dh_* helpers create directories as needed
  * Move man pages from d/ to d/man
  * Drop cruft liblinear-dbg.lintian-overrides
  * Remove ancient d/python-liblinear.NEWS
    It's content applies to changes before oldoldstable
  * Add Rules-Requires-Root: no

 -- Christian Kastner <email address hidden>  Fri, 15 Feb 2019 15:46:34 +0100

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Uploaded by:
Christian Kastner on 2019-02-15
Uploaded to:
Sid
Original maintainer:
Christian Kastner
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 main libs
Disco release on 2019-02-16 main libs

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liblinear_2.1.0+dfsg.orig.tar.xz 42.8 KiB 6591f16c1a3e4642bd19293d615a475eeea1913fc603d34f25fba7f47c5a759a
liblinear_2.1.0+dfsg-4.debian.tar.xz 12.6 KiB 654a080e95aedc4910b41564940ccb2cbf20f28d8f43116bd108f7fb3bffe17d

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Binary packages built by this source

liblinear-dev: Development libraries and header files 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.
 .
 This package contains the header files and static libraries.

liblinear-tools: Standalone applications 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 standalone applications.

liblinear-tools-dbgsym: debug symbols for liblinear-tools
liblinear3: Library for Large Linear Classification

 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 shared libraries.

liblinear3-dbgsym: debug symbols for liblinear3
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: Python 3 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 3 bindings.