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non port: science/py-mlpy/distinfo

Number of commits found: 7

Saturday, 31 May 2014
13:56 wen search for other commits by this committer
- Added STAGE support
- Update to 3.5.0

PR:		190314
Submitted by:	Muhammad Moinur Rahman <5u623l20@gmail.com>
Original commitRevision:355973 
Thursday, 23 Dec 2010
08:22 wen search for other commits by this committer
- Update to 2.2.2
Original commit
Tuesday, 21 Dec 2010
01:22 wen search for other commits by this committer
- Fix run error because of lacking cpow() function in FreeBSD.
- Remove MD5

PR:             ports/153299
Submitted by:   Kawaguti Ginga <ginga-freebsd@ginganet.org>
Original commit
Thursday, 28 Oct 2010
12:09 wen search for other commits by this committer
- Update to 2.2.1
Original commit
Tuesday, 1 Dec 2009
13:05 wen search for other commits by this committer
- Update to 2.1.0
- Update my mail address to FreeBSD
Original commit
Friday, 5 Jun 2009
21:59 miwi search for other commits by this committer
- Update to 2.0.3

PR:             135210
Submitted by:   Wen Heping <wenheping@gmail.com> (maintainer)
Original commit
Thursday, 23 Apr 2009
17:02 miwi search for other commits by this committer
Machine Learning PY (mlpy) is a high-performance Python package for
predictive modeling. It makes extensive use of numpy (http://scipy.org)
to provide fast N-dimensional array manipulation and easy integration of
C code. mlpy provides high level procedures that support, with few lines
of code, the design of rich Data Analysis Protocols (DAPs) for
preprocessing, clustering, predictive classification and feature
selection. Methods are available for feature weighting and ranking, data
resampling, error evaluation and experiment landscaping.The package
includes tools to measure stability in sets of ranked feature lists.

WWW:    http://mlpy.fbk.eu/

PR:             ports/133932
Submitted by:   Wen Heping <wenheping at gmail.com>
Original commit

Number of commits found: 7