./math/liblinear, Library for large linear classification

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Branch: pkgsrc-2017Q1, Version: 2.1nb1, Package name: liblinear-2.1nb1, 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


Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 071e1c86c400bfa3605b1a5e45dace250c6a4574
RMD160: bb325a017a0044039c3ad2a058d56af7dc063ade
Filesize: 373.365 KB

Version history: (Expand)