liblinear 2.3.0+dfsg-3build1 source package in Ubuntu

Changelog

liblinear (2.3.0+dfsg-3build1) focal; urgency=medium

  * No-change rebuild for libgcc-s1 package name change.

 -- Matthias Klose <email address hidden>  Sun, 22 Mar 2020 16:46:05 +0100

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Uploaded by:
Matthias Klose on 2020-03-22
Uploaded to:
Focal
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Focal release on 2020-03-23 universe libs

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liblinear_2.3.0+dfsg.orig.tar.xz 48.3 KiB 8e3b935fdf638c6269111f0c9f3da6a8074b2b34c640f24108f38a13322d9039
liblinear_2.3.0+dfsg-3build1.debian.tar.xz 13.2 KiB f5f15d1bea7d7e84ef3eddf7320891e436adc9aaa0c84fe5e0f65e973f154463
liblinear_2.3.0+dfsg-3build1.dsc 2.3 KiB 008ffd9cde2e7be9a607a7b136ee5b3a3426e4bf1321bc1a9af6d3e937103deb

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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.