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* many ports: mark broken on powerpc64Steve Wills2016-04-211-0/+1
| | | | Notes: svn path=/head/; revision=413746
* Remove ${PORTSDIR}/ from dependencies, categories m, n, o, and p.Mathieu Arnold2016-04-011-1/+1
| | | | | | | | With hat: portmgr Sponsored by: Absolight Notes: svn path=/head/; revision=412348
* - Mark broken on FreeBSD 9.x:Dmitry Marakasov2015-06-261-0/+2
| | | | | | | | | | ./../explore/static/MWTExplorer.h:16:10: fatal error: 'tuple' file not found Submitted by: pkg-fallout Approved by: portmgr blanket Notes: svn path=/head/; revision=390634
* Replace most occurences of github.com in MASTER_SITES with USE_GITHUB usage.Mathieu Arnold2015-05-181-3/+2
| | | | | | | | With hat: portmgr Sponsored by: Absolight Notes: svn path=/head/; revision=386691
* Needs compiler with C++11 support.Dmitry Sivachenko2015-04-191-1/+1
| | | | Notes: svn path=/head/; revision=384265
* Update to version 7.10.Dmitry Sivachenko2015-04-051-1/+1
| | | | Notes: svn path=/head/; revision=383292
* New port: vowpal_wabbit.Dmitry Sivachenko2015-01-151-0/+22
The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several are available). WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki Notes: svn path=/head/; revision=377088