LIBSVM -- A Library for Support Vector Machines
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.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
* Probability estimates
* Weighted SVM for unbalanced data
* Both C++ and Java sources
* GUI demonstrating SVM classification and regression
* Python, R (also Splus), MATLAB, Perl, Ruby, Weka, CLISP and LabVIEW interfaces. C# .NET code is available.
It's also included in some learning environments: YALE and PCP.
* Automatic model selection which can generate contour of cross valiation accuracy.
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This page last modified on 2008-07-10
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