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
LIBLINEAR