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libsvm2

library implementing support vector machines

Variants:
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.
Homepage:
Package version:2.91-1
Architecture:amd64
Distribution:Debian
Filename:libsvm2_2.91-1_amd64.deb

/usr/share/doc/libsvm2/README.gz

Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.

Libsvm is available at 
http://www.csie.ntu.edu.tw/~cjlin/libsvm
Ple
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/usr/share/doc/libsvm2/changelog.Debian.gz

libsvm (2.91-1) unstable; urgency=low
  
  * New upstream release.
  * Changed python-libsvm to the new python interface
    provided by upstream.

 -- Chen-Tse Tsai <ctse.tsai@gmail.com>  Fri, 10 Apr 2010 12:00:44 +0800

libsvm (2.90-1) unstable; urgency=low
  
  * New upstream release.
  * Fixed dependency of python-libsvm. (Closes: #548401)
  * Fixed python-libsvm building problem and migrated 
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/usr/share/doc/libsvm2/copyright

This package was debianized by Rudi Cilibrasi <cilibrar@cilibrar.com> on
Sat,  3 Jun 2006 19:01:08 +0200.

It was downloaded from http://www.csie.ntu.edu.tw/~cjlin/libsvm/

Upstream Authors: Chih-Chung Chang and Chih-Jen Lin <cjlin@csie.ntu.edu.tw>

License:

Copyright (c) 2000-2005 Chih-Chung Chang and Chih-Jen Lin
All rights reserved.

Redistribution and use in source and binary forms, with or w
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