LIBSVM 3.20

A library for supporting vector machines
LIBSVM is an integrated component designed to support vector classification, (C-SVC, nu-SVC), distribution estimation (one-class SVM) and regression (epsilon-SVR, nu-SVR). It supports multi-class classification.

Main features:

  • 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, Common LISP, CLISP, Haskell and LabVIEW interfaces. C# .NET code 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.

last updated on:
November 15th, 2014, 8:24 GMT
file size:
622 KB
price:
FREE!
license type:
Freeware
developed by:
Chih-Chung Chang & Chih-Jen Lin
operating system(s):
Windows All
category:
C: \ Programming \ Components & Libraries
LIBSVM
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