liblinear 2.3.0+dfsg-4 source package in Ubuntu

Changelog

liblinear (2.3.0+dfsg-4) unstable; urgency=medium

  * Add autopkgtest for Python package
  * Add patch Merge-commonutil.py-into-liblinearutil.py.patch (Closes: #958641)
    - Add python3-liblinear.README.Debian documenting the merge
  * Bump Standards-Version to 4.5.0 (no changes needed)

 -- Christian Kastner <email address hidden>  Sat, 02 May 2020 10:10:18 +0200

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Uploaded by:
Debian Science Team on 2020-05-02
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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Groovy release on 2020-05-02 universe libs

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liblinear_2.3.0+dfsg.orig.tar.xz 48.3 KiB 8e3b935fdf638c6269111f0c9f3da6a8074b2b34c640f24108f38a13322d9039
liblinear_2.3.0+dfsg-4.debian.tar.xz 16.2 KiB 80e51b7897ea4ea891670fda564dc6f8ae0cf5d0507dc8c80b4a2f0a37a2ef10

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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
liblinear4: 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.

liblinear4-dbgsym: debug symbols for liblinear4
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.