Libsvm

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Contents


Authors/Maintainers

http://www.csie.ntu.edu.tw/~cjlin/libsvm/acknowledgements

Summary

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.

Features

  • Different SVM formulations
  • Efficient multi-class classification
  • Cross validation for model selection
  • Probability estimates
  • Various kernels (including precomputed kernel matrix)
  • Weighted SVM for unbalanced data
  • Both C++ and Java sources
  • GUI demonstrating SVM classification and regression
  • Python, R, MATLAB, Perl, Ruby, Weka, Common LISP, CLISP, Haskell, LabVIEW, and PHP interfaces. C# .NET code and CUDA extension is available.
  • It's also included in some data mining environments: RapidMiner and PCP.
  • Automatic model selection which can generate contour of cross valiation accuracy.

Architectural/Functional Overview

See http://www.csie.ntu.edu.tw/~cjlin/libsvm/

Usage Overview

See http://www.csie.ntu.edu.tw/~cjlin/libsvm/

Dependencies

None

HP-SEE Applications

miRs

Resource Centers

Usage by Other Projects and Communities

Recommendations for Configuration and Usage

Download libsvm from http://www.csie.ntu.edu.tw/~cjlin/cgi-bin/libsvm.cgi?+http://www.csie.ntu.edu.tw/~cjlin/libsvm+tar.gz

Compilation is straightforward, typing "make" at the top directory.