WARNING: this package always installs the newest version of the software. WARNING: this package always installs the newest version of the software.

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)
• L2-regularized support vector regression (after version 1.9)
• L2-loss linear SVR and L1-loss linear SVR.

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 i686