Ubuntu
liblinear package

liblinear 2.1.0+dfsg-1 source package in Ubuntu

Changelog

liblinear (2.1.0+dfsg-1) unstable; urgency=medium

  * New upstream release.
  * Versioning scheme has been changed to better work with upstream's
  * d/control:
    - Build-Depend on python*-all, not python*-all-dev. This was a remnant from
      when the package was still arch:any. Closes: #799231
    - Switch Vcs-Browser from gitweb to cgit
  * d/watch:
    - Redo mangling: Convert upstream version to x.y.z format
  * d/rules:
    - Update get-orig-source for new x.y.z versioning scheme
  * liblinear3:
    - Drop symbol l2r_l2_svc_fun::subXv. No SONAME bump, as this symbol wasn't
      visible outside of experimental
  * d/patches (updated):
    - Properly-build-shared-and-static-libraries-programs.patch
      Makes use of the new versioning scheme

 -- Christian Kastner <email address hidden>  Sun, 01 Nov 2015 17:14:30 +0100

Upload details

Uploaded by:
Christian Kastner
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
Xenial release main libs

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File Size SHA-256 Checksum
liblinear_2.1.0+dfsg-1.dsc 2.3 KiB 40b264a7343f67c7a314e58f44f9d8516f60139c7222e7a380efe86ecf3af126
liblinear_2.1.0+dfsg.orig.tar.xz 42.8 KiB 6591f16c1a3e4642bd19293d615a475eeea1913fc603d34f25fba7f47c5a759a
liblinear_2.1.0+dfsg-1.debian.tar.xz 12.2 KiB a9a9e419abc40edcc7af1de68287304c4be990af28d6391e96feea8104b2a3a8

Available diffs

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Binary packages built by this source

liblinear-dbg: No summary available for liblinear-dbg in ubuntu yakkety.

No description available for liblinear-dbg in ubuntu yakkety.

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-dev-dbgsym: debug symbols for package liblinear-dev

 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 package liblinear-tools

 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.

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 package liblinear3

 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.

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.