pkg-descr

LIBSVM is an integrated software for support vector classification, (C-SVC,
nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation
(one-class SVM ). It supports multi-class classification. The basic algorithm
is a simplification of both SMO by Platt and SVMLight by Joachims. It is also
a simplification of the modification 2 of SMO by Keerthi et al.

Our goal is to help users from other fields to easily use SVM as a tool.
LIBSVM provides a simple interface where users can easily link it with their
own programs. Main features of LIBSVM include

Different SVM formulations
Efficient multi-class classification
Cross validation for model selection
Weighted SVM for unbalanced data
Both C++ and Java sources
GUI demonstrating SVM classification and regression

WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
Author: Chih-Chung Chang and Chih-Jen Lin

pkg-plist

bin/svm-predict
bin/svm-scale
bin/svm-train
%%DATADIR%%/checkdata.py
%%DATADIR%%/easy.py
%%DATADIR%%/grid.py
%%DATADIR%%/subset.py
@dirrm %%DATADIR%%