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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
5 lines
253 B
Text
5 lines
253 B
Text
$NetBSD: distinfo,v 1.1.1.1 2014/10/19 09:57:21 cheusov Exp $
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SHA1 (liblinear-1.94.tar.gz) = 19678355e6c933b7ec133e07fef77796e50df0d5
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RMD160 (liblinear-1.94.tar.gz) = 56cc112d3e4397804d67eea4e266b363c822307b
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Size (liblinear-1.94.tar.gz) = 335400 bytes
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