Libsvm

From HP-SEE Wiki

Contents 1 Authors/Maintainers 2 Summary 3 Features 4 Architectural/Functional Overview 5 Usage Overview 6 Dependacies 7 HP-SEE Applications 8 Resource Centers 9 Usage by Other Projects and Communities 10 Recommendations for Configuration and Usage

• Web site: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
• Described version: 3,1
• Licensing: e.g. GPL
• User documentation: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
• Download: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
• Source code: http://www.csie.ntu.edu.tw/~cjlin/libsvm/

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

Usage Overview

Dependacies

HP-SEE Applications

Resource Centers

Usage by Other Projects and Communities

Recommendations for Configuration and Usage