diff options
| author | Wen Heping <wen@FreeBSD.org> | 2018-10-13 14:26:24 +0000 |
|---|---|---|
| committer | Wen Heping <wen@FreeBSD.org> | 2018-10-13 14:26:24 +0000 |
| commit | 033973822d8014adbb2e1bdfe33ee5fefc27202b (patch) | |
| tree | c35d7ede9c0f1a738dd09fd349521d09fd9dcc24 /science/libsvm | |
| parent | 1bc5bd81ff5d88758e5413ced79c17b5b960f9b1 (diff) | |
| download | ports-033973822d8014adbb2e1bdfe33ee5fefc27202b.tar.gz ports-033973822d8014adbb2e1bdfe33ee5fefc27202b.zip | |
- Update pkg-descr
PR: 232026
Submitted by: iblis@hs.ntnu.edu.tw(maintainer)
Notes
Notes:
svn path=/head/; revision=481987
Diffstat (limited to 'science/libsvm')
| -rw-r--r-- | science/libsvm/pkg-descr | 10 |
1 files changed, 2 insertions, 8 deletions
diff --git a/science/libsvm/pkg-descr b/science/libsvm/pkg-descr index c720a6662daa..443f6a2f1327 100644 --- a/science/libsvm/pkg-descr +++ b/science/libsvm/pkg-descr @@ -2,14 +2,8 @@ LIBSVM is an integrated software for support vector classification, (C-SVC, 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 |