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| author | Rong-En Fan <rafan@FreeBSD.org> | 2007-05-27 14:05:54 +0000 |
|---|---|---|
| committer | Rong-En Fan <rafan@FreeBSD.org> | 2007-05-27 14:05:54 +0000 |
| commit | d289bd6d26c69a15eb2eecd8362cc243fe528434 (patch) | |
| tree | 4023b687ff6abdb55d84c986bbeb2439036879b7 /science/liblinear/pkg-descr | |
| parent | 6c5a823e8fa510128c272904d70ab4c7d5e4e253 (diff) | |
| download | ports-d289bd6d26c69a15eb2eecd8362cc243fe528434.tar.gz ports-d289bd6d26c69a15eb2eecd8362cc243fe528434.zip | |
Notes
Diffstat (limited to 'science/liblinear/pkg-descr')
| -rw-r--r-- | science/liblinear/pkg-descr | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/science/liblinear/pkg-descr b/science/liblinear/pkg-descr new file mode 100644 index 000000000000..572349efc4bf --- /dev/null +++ b/science/liblinear/pkg-descr @@ -0,0 +1,16 @@ +LIBLR is a linear classifier for data with millions of instances and +features. It implement a trust region Newton method in + +C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method +for large-scale regularized logistic regression. Technical report, 2007. +A short version appears in ICML 2007. + +Main features of LIBLR include + +Same data format as LIBSVM and similar usage +One-vs-the rest multi-class classification +Cross validation for model selection +Probability estimates +Weights for unbalanced data + +WWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/ |