math/liblinear - The NetBSD Packages Collection

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)
    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