./math/liblinear, Library for large linear classification

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Branch: pkgsrc-2020Q4, Version: 2.41, Package name: liblinear-2.41, Maintainer: cheusov

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

Master sites:

SHA1: 2b50ecfab5dc64245cd338dc59d7dc495af56970
RMD160: b65416689d7af97858b7448b1b8bb2c5acb5f7cf
Filesize: 546.134 KB

Version history: (Expand)