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