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17 lines
562 B
Plaintext
17 lines
562 B
Plaintext
LIBLR is a linear classifier for data with millions of instances and
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features. It implement a trust region Newton method in
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C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method
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for large-scale regularized logistic regression. Technical report, 2007.
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A short version appears in ICML 2007.
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Main features of LIBLR include
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Same data format as LIBSVM and similar usage
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One-vs-the rest multi-class classification
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Cross validation for model selection
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Probability estimates
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Weights for unbalanced data
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WWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/
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