21 lines
917 B
Text
21 lines
917 B
Text
LIBSVM is an integrated software for support vector classification, (C-SVC,
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nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation
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(one-class SVM). It supports multi-class classification.
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LIBSVM provides a simple interface where users can easily link it with their
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own programs. Main features of LIBSVM include
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* Different SVM formulations
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* Efficient multi-class classification
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* Cross validation for model selection
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* Probability estimates
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* Weighted SVM for unbalanced data
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* Both C++ and Java sources
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* GUI demonstrating SVM classification and regression
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* Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW
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interfaces. C# .NET code is available.
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It's also included in some learning environments: YALE and PCP.
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* Automatic model selection which can generate contour of cross valiation
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accuracy.
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WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
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