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70c3cafabf
- Update MASTER_SITES - Add my LOCAL to MASTER_SITES - Remove DOCS and OPTIMIZED_CFLAGS options - Update pkg-descr - Update WWW - Take maintainership Changes: https://github.com/cjlin1/liblinear/commits/master
21 lines
849 B
Plaintext
21 lines
849 B
Plaintext
LIBLINEAR is a linear classifier for data with millions of instances and
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features. It supports:
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- L2-regularized classifiers
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- L2-loss linear SVM, L1-loss linear SVM, and logistic regression (LR)
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- L1-regularized classifiers (after version 1.4)
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- L2-loss linear SVM and logistic regression (LR)
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- L2-regularized support vector regression (after version 1.9)
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- L2-loss linear SVR and L1-loss linear SVR.
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Main features of LIBLINEAR include:
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- Same data format as LIBSVM, our general-purpose SVM solver, and also similar
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usage
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- Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
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- Cross validation for model evaulation
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- Automatic parameter selection
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- Probability estimates (logistic regression only)
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- Weights for unbalanced data
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- MATLAB/Octave, Java, Python, Ruby interfaces
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WWW: https://www.csie.ntu.edu.tw/~cjlin/liblinear/
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