Ubuntu
libsvm package

libsvm 3.24+ds-3build1 source package in Ubuntu

Changelog

libsvm (3.24+ds-3build1) focal; urgency=medium

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

 -- Matthias Klose <email address hidden>  Sun, 22 Mar 2020 16:46:53 +0100

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe devel

Downloads

File Size SHA-256 Checksum
libsvm_3.24+ds.orig.tar.xz 142.6 KiB fd8fbf3179765dfcfdf949184b4b2c3c1a3a03834549ce48d42cd0269858f8c3
libsvm_3.24+ds-3build1.debian.tar.xz 13.5 KiB 083c3a0d26475e0fe557e415dff22fb925566c6a06ad4388f5f4edd0dabb6583
libsvm_3.24+ds-3build1.dsc 2.3 KiB 59cf48ddf27184655bb998d74620ba872a22a15c87b29cb86c82a3d1375b45d6

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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: No summary available for libsvm-tools-dbgsym in ubuntu groovy.

No description available for libsvm-tools-dbgsym in ubuntu groovy.

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.