svn commit: r481987 - head/science/libsvm
Wen Heping
wen at FreeBSD.org
Sat Oct 13 14:26:25 UTC 2018
Author: wen
Date: Sat Oct 13 14:26:24 2018
New Revision: 481987
URL: https://svnweb.freebsd.org/changeset/ports/481987
Log:
- Update pkg-descr
PR: 232026
Submitted by: iblis at hs.ntnu.edu.tw(maintainer)
Modified:
head/science/libsvm/pkg-descr
Modified: head/science/libsvm/pkg-descr
==============================================================================
--- head/science/libsvm/pkg-descr Sat Oct 13 14:21:27 2018 (r481986)
+++ head/science/libsvm/pkg-descr Sat Oct 13 14:26:24 2018 (r481987)
@@ -2,14 +2,8 @@ LIBSVM is an integrated software for support vector cl
nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation
(one-class SVM). It supports multi-class classification.
-Since version 2.8, it implements an SMO-type algorithm proposed in this paper:
-R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order
-information for training SVM. Journal of Machine Learning Research 6,
-1889-1918, 2005. You can also find a pseudo code there.
-
-Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM
-provides a simple interface where users can easily link it with their own
-programs. Main features of LIBSVM include
+LIBSVM provides a simple interface where users can easily link it with their
+own programs. Main features of LIBSVM include
* Different SVM formulations
* Efficient multi-class classification
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