./math/liblinear, Library for large linear classification

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Branch: pkgsrc-2017Q4, Version: 2.11nb1, Package name: liblinear-2.11nb1, 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: 6c306d0d0b7ea5281ee2b587adc89745ee0d74fa
RMD160: c80d051e8b354de03da3e41bd1bea096ef4076f3
Filesize: 494.638 KB

Version history: (Expand)