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Port details
py-mlpy 3.5.0 science on this many watch lists=0 search for ports that depend on this port
High performance Python package for predictive modeling
Maintained by: wen@FreeBSD.org search for ports maintained by this maintainer
Port Added: 23 Apr 2009 17:02:40
Also Listed In: python
License: GPLv3


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.sourceforge.net/
SVNWeb : Main Web Site : Distfiles Availability : PortsMon

NOTE: FreshPorts displays only required dependencies information. Optional dependencies are not covered.

Required To Build:
  1. math/py-numpy
  2. lang/cython
  3. devel/py-setuptools27
  4. lang/python27
Required To Run:
  1. math/py-numpy
  2. lang/cython
  3. devel/py-setuptools27
  4. lang/python27
Required Libraries:
  1. math/gsl
There are no ports dependent upon this port

To install the port: cd /usr/ports/science/py-mlpy/ && make install clean
To add the package: pkg install science/py-mlpy


Configuration Options
     No options to configure

Master Sites:
  1. http://aarnet.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  2. http://distcache.FreeBSD.org/ports-distfiles/
  3. http://downloads.sourceforge.net/project/mlpy/mlpy%203.5.0/
  4. http://freefr.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  5. http://garr.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  6. http://heanet.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  7. http://hivelocity.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  8. http://ignum.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  9. http://internode.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  10. http://iweb.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  11. http://jaist.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  12. http://kaz.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  13. http://kent.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  14. http://master.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  15. http://nchc.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  16. http://ncu.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  17. http://netcologne.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  18. http://sunet.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  19. http://superb-dca3.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  20. http://switch.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  21. http://tenet.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  22. http://ufpr.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/
  23. http://waix.dl.sourceforge.net/project/mlpy/mlpy%203.5.0/

Number of commits found: 17

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
01 Jun 2014 10:57:42
Original commit files touched by this commit  3.5.0
Revision:356094
miwi search for other commits by this committer
- Drop empty files/dirs
31 May 2014 13:56:17
Original commit files touched by this commit  3.5.0
Revision:355973
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>
10 Mar 2014 20:55:22
Original commit files touched by this commit  2.2.2_4
Revision:347809
gerald search for other commits by this committer
Update the default version of GCC used in the Ports Collection from
GCC 4.6.4 to GCC 4.7.3.  This entails updating the lang/gcc port as
well as changing the default in Mk/bsd.default-versions.mk.

Part II, Bump PORTREVISIONs.

PR:		182136
Supported by:	Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports)
Tested by:	bdrewery (two -exp runs)
26 Oct 2013 00:52:36
Original commit files touched by this commit  2.2.2_3
Revision:331644
gerald search for other commits by this committer
Update to libmpc version 1.0.1 which brings the following fixes:

 - Switched to automake 1.11.6, see CVE-2012-3386.
 - #14669: Fixed extraction of CC from gmp.h.
 - Fixed case of intermediate zero real or imaginary part in mpc_fma,
   found by hydra with GMP_CHECK_RANDOMIZE=1346362345.

This is on top of the following changes from version 1.0

 - Licence change towards LGPLv3+ for the code and GFDLv1.3+ (with no
   invariant sections) for the documentation.
 - 100% of all lines are covered by tests
 - Renamed functions
   . mpc_mul_2exp to mpc_mul_2ui
   . mpc_div_2exp to mpc_div_2ui
(Only the first 15 lines of the commit message are shown above View all of this commit message)
20 Sep 2013 22:48:31
Original commit files touched by this commit  2.2.2_2
Revision:327767
bapt search for other commits by this committer
Add NO_STAGE all over the place in preparation for the staging support (cat:
science)
26 Aug 2013 16:06:38
Original commit files touched by this commit  2.2.2_2
Revision:325401
bf search for other commits by this committer
Update math/gsl to 1.16 and adjust some dependent ports
21 Jan 2012 17:40:15
Original commit files touched by this commit  2.2.2_1
eadler search for other commits by this committer
At the moment 1385 ports use BUILD_DEPENDS= ${RUN_DEPENDS} and 450
ports use BUILD_DEPENDS:= ${RUN_DEPENDS}. This patch fixes ports that are
currently broken. This is a temporary measure until we organically stop using
:= or someone(s) spend a lot of time changing all the ports over.

Explicit duplication > := > = and this just moves ports one step to the left

Approved by:    portmgr
23 Sep 2011 22:26:39
Original commit files touched by this commit  2.2.2_1
amdmi3 search for other commits by this committer
- Add LDFLAGS to CONFIGURE_ENV and MAKE_ENV (as it was done with LDFLAGS)
- Fix all ports that add {CPP,LD}FLAGS to *_ENV to modify flags instead

PR:             157936
Submitted by:   myself
Exp-runs by:    pav
Approved by:    pav
09 May 2011 16:42:28
Original commit files touched by this commit  2.2.2_1
bf search for other commits by this committer
Update math/gsl to 1.15, and adjust PORTREVISION
and LIB_DEPENDS of dependent ports
23 Dec 2010 08:22:40
Original commit files touched by this commit  2.2.2
wen search for other commits by this committer
- Update to 2.2.2
21 Dec 2010 01:22:30
Original commit files touched by this commit  2.2.1_1
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>
28 Oct 2010 12:09:35
Original commit files touched by this commit  2.2.1
wen search for other commits by this committer
- Update to 2.2.1
29 Mar 2010 01:12:27
Original commit files touched by this commit  2.1.0_2
wen search for other commits by this committer
- Bump PORTREVISION to chase the update of math/gsl
01 Dec 2009 20:33:45
Original commit files touched by this commit  2.1.0_1
makc search for other commits by this committer
Chase math/gsl update,
bump PORTREVISION
01 Dec 2009 13:05:06
Original commit files touched by this commit  2.1.0
wen search for other commits by this committer
- Update to 2.1.0
- Update my mail address to FreeBSD
05 Jun 2009 21:59:04
Original commit files touched by this commit  2.0.3
miwi search for other commits by this committer
- Update to 2.0.3

PR:             135210
Submitted by:   Wen Heping <wenheping@gmail.com> (maintainer)
23 Apr 2009 17:02:20
Original commit files touched by this commit  2.0.0
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>

Number of commits found: 17

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