libsvm 3.24+ds-3 source package in Ubuntu

Changelog

libsvm (3.24+ds-3) unstable; urgency=medium

  * autopktest: Fix package name svm-tools -> libsvm-tools. (Closes: #950317)
  * Fix FTBFS on arch:all because of missing JAR.
    This was caused by recent changes to the build process.
  * Mark libsvm3-java as Multi-Arch: foreign
  * Bump Standards-Version to 4.5.0 (no changes needed)

 -- Christian Kastner <email address hidden>  Fri, 31 Jan 2020 23:33:23 +0100

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
libsvm_3.24+ds-3.dsc 2.3 KiB da09f124773c7ef5362b83cdd0e165d4f84ec15126eef783f1c2f2abc75a0bcf
libsvm_3.24+ds.orig.tar.xz 142.6 KiB fd8fbf3179765dfcfdf949184b4b2c3c1a3a03834549ce48d42cd0269858f8c3
libsvm_3.24+ds-3.debian.tar.xz 13.4 KiB 47398514d40a8af74f503de30fd2584273bbc428a94de9333f95233aecd031f2

Available diffs

No changes file available.

Binary packages built by this source

libsvm-dev: LIBSVM header files

 LIBSVM, a machine-learning library, is an easy-to-use package for
 support vector classification, regression and one-class SVM. It
 supports multi-class classification, probability outputs, and
 parameter selection.
 .
 This package contains the development header files.

libsvm-java: Java API to support vector machine library (libsvm.jar)

 The functionality of the libsvm are offered in a single jar file. It includes
 one-class, two-class, multiclass, regression-mode, and probablistic output
 functionality.
 .
 This package solely provides a symbolic link from libsvm.jar libsvm3.jar.

libsvm-tools: LIBSVM binary tools

 LIBSVM is an easy-to-use package for support vector classification,
 regression and one-class SVM. It supports multi-class classification,
 probability outputs, and parameter selection.

libsvm-tools-dbgsym: debug symbols for libsvm-tools
libsvm3: library implementing support vector machines

 The LIBSVM library is used to calculate Support Vector Machine optimizations
 with a great variety of powerful options. It includes one-class, two-class,
 multiclass, regression-mode, and probablistic output functionality. It is
 primarily of interest to machine-learning researchers and artificial
 intelligence application developers.

libsvm3-dbgsym: debug symbols for libsvm3
libsvm3-java: Java API to support vector machine library (libsvm3.jar)

 The functionality of the libsvm are offered in a single jar file. It includes
 one-class, two-class, multiclass, regression-mode, and probablistic output
 functionality.

python3-libsvm: Python interface for support vector machine library

 Python interface for the LIBSVM library using ctypes. This new Python
 interface is provided since 2.91, and it is incompatible with the old
 one.