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Linear classifier for data with millions of instances and features

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports
* L2-regularized classifiers
* L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
* L1-regularized classifiers (after version 1.4)
* L2-loss linear SVM and logistic regression (LR)

Main features of LIBLINEAR include
* Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
* Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
* Cross validation for model selection
* Probability estimates (logistic regression only)
* Weights for unbalanced data
* MATLAB/Octave, Java, Python, Ruby interfaces 

Source Files

Filename Size Changed Actions
liblinear-1.6.tar.bz2 191 KB Download File
liblinear.spec 1.42 KB Download File

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