| Port details |
- liblr A library for Large Regularized Logistic Regression
- 1.00 science
 =0      1.00Version of this port present on the latest quarterly branch. - Maintainer: rafan@FreeBSD.org
- Port Added: 2007-05-27 14:07:24
- Last Update: 2007-07-28 07:10:54
- SVN Revision: UNKNOWN
- Also Listed In: math
- License: not specified in port
- WWW:
- 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 ¦ 
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- PKGNAME: liblr
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Number of commits found: 3
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
1.00
28 Jul 2007 07:10:54
  |
rafan |
- science/liblr is moved to science/liblinear (project renamed) |
1.00
24 Jul 2007 12:18:24
|
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
27 May 2007 14:05:54
|
rafan |
Add liblr-1.0, a library for large regularized logistic regression. |
Number of commits found: 3
|
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