Created attachment 197866 [details] libsvm 3.23 patch changelog is here: https://www.csie.ntu.edu.tw/~cjlin/libsvm/log
Thank you Iblis, can you confirm that QA (portlint, poudriere) passes please.
Comment on attachment 197866 [details] libsvm 3.23 patch Approved by: portmgr (unmaintained port)
A commit references this bug: Author: wen Date: Mon Oct 8 02:06:54 UTC 2018 New revision: 481502 URL: https://svnweb.freebsd.org/changeset/ports/481502 Log: - Update to 3.23 - Pass maintainership to submitter PR: 232026 Submitted by: iblis@hs.ntnu.edu.tw Approved by: portmgr@(koobs@) Changes: head/science/libsvm/Makefile head/science/libsvm/distinfo
well, although it has been committed, I provide some QA info. └─[iblis@abeing]% portlint WARN: /data/usr/home/iblis/ports/science/libsvm/pkg-descr: exceeds 24 lines, make it shorter if possible.(currently 27 lines) 0 fatal errors and 1 warning found. poudriere testport with DEFAULT_OPTIONS - passed on 11.2-RELEASE, amd64 - passed on 11.2-RELEASE, i386 - passed on 10.4-RELEASE, amd64 - passed on 10.4-RELEASE, i386
(In reply to Iblis Lin from comment #4) Thank you ! Would you modify the pkg-descr to pet portlint ? wen
(In reply to Wen Heping from comment #5) sure --------------- diff --git a/science/libsvm/pkg-descr b/science/libsvm/pkg-descr index c720a66..443f6a2 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
(In reply to Wen Heping from comment #5) bump.
A commit references this bug: Author: wen Date: Sat Oct 13 14:26:24 UTC 2018 New revision: 481987 URL: https://svnweb.freebsd.org/changeset/ports/481987 Log: - Update pkg-descr PR: 232026 Submitted by: iblis@hs.ntnu.edu.tw(maintainer) Changes: head/science/libsvm/pkg-descr
(In reply to Iblis Lin from comment #7) Done. Thank you ! wen