Port details
liblr A library for Large Regularized Logistic Regression
1.00 science Σ 1.00Version of this port present on the latest quarterly branch. Maintainer: rafan@FreeBSD.org Port Added: 2007-05-27 14:07:24Last Update: 2007-07-28 07:10:54SVN Revision: UNKNOWNAlso Listed In: math License: not specified in portWWW: http://www.csie.ntu.edu.tw/~cjlin/liblr/ Description: # 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/ cgit ¦ GitHub ¦ GitHub ¦ GitLab ¦ Manual pages: # FreshPorts has no man page information for this port.
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Commit History - (may be incomplete: for full details, see links to repositories near top of page) Commit Credits Log message 1.00 rafan - science/liblr is moved to science/liblinear (project renamed) 1.00 rafan - Band-aid for unfetchable distfile until this is updated to 1.1 (it depends
on a repocopy to liblinear)
Noticed by: pointyhat via pav 1.00 rafan Add liblr-1.0, a library for large regularized logistic regression.
Number of commits found: 3
