pkgsrc/math/liblinear/PLIST
cheusov aa901feeca Add liblinear.
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
2014-10-19 09:57:21 +00:00

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@comment $NetBSD: PLIST,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
bin/liblinear-predict
bin/liblinear-train
include/linear.h
lib/liblinear.so
lib/liblinear.so.1
share/doc/liblinear/README
share/examples/liblinear/heart_scale