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Port details
py-scikit-learn Machine learning algorithms for python
0.17 science on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port
Maintainer: demon@FreeBSD.org search for ports maintained by this maintainer
Port Added: 19 Oct 2012 12:24:11
Also Listed In: python
License: not specified in port
scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib).  It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.

WWW: http://scikit-learn.org/
SVNWeb : Homepage : PortsMon

To install the port: cd /usr/ports/science/py-scikit-learn/ && make install clean
To add the package: pkg install py27-scikit-learn

PKGNAME: py27-scikit-learn

distinfo:

SHA256 (scikit-learn-0.17.tar.gz) = 23a5b6804524cb2cd54d8310010169511c7633dcf69af7439747eec02677f314
SIZE (scikit-learn-0.17.tar.gz) = 7834903


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

Build dependencies:
  1. numeric.py : math/py-numpy
  2. version.py : science/py-scipy
  3. gfortran48 : lang/gcc
  4. py27-setuptools27>0 : devel/py-setuptools27
  5. python2.7 : lang/python27
  6. as : devel/binutils
Runtime dependencies:
  1. numeric.py : math/py-numpy
  2. version.py : science/py-scipy
  3. gfortran48 : lang/gcc
  4. py27-setuptools27>0 : devel/py-setuptools27
  5. python2.7 : lang/python27
There are no ports dependent upon this port

Configuration Options
     No options to configure

USES:
fortran python

Master Sites:
  1. https://files.pythonhosted.org/packages/source/s/scikit-learn/
  2. https://pypi.python.org/packages/source/s/scikit-learn/

Number of commits found: 21

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
01 Apr 2016 14:25:18
Original commit files touched by this commit  0.17
Revision:412349
mat search for other commits by this committer
Remove ${PORTSDIR}/ from dependencies, categories r, s, t, and u.

With hat:	portmgr
Sponsored by:	Absolight
07 Dec 2015 12:05:18
Original commit files touched by this commit  0.17
Revision:403200
demon search for other commits by this committer
Update to version 0.17.
14 May 2015 10:15:09
Original commit files touched by this commit  0.16.0
Revision:386312
mat search for other commits by this committer
MASTER_SITES cleanup.

- Replace ${MASTER_SITE_FOO} with FOO.
- Merge MASTER_SITE_SUBDIR into MASTER_SITES when possible. (This means 99.9%
  of the time.)
- Remove occurrences of MASTER_SITE_LOCAL when no subdirectory was present and
  no hint of what it should be was present.
- Fix some logic.
- And generally, make things more simple and easy to understand.

While there, add magic values to the FESTIVAL, GENTOO, GIMP, GNUPG, QT and
SAMBA macros.

Also, replace some EXTRACT_SUFX occurences with USES=tar:*.

Checked by:	make fetch-urlall-list
With hat:	portmgr
Sponsored by:	Absolight
04 Apr 2015 14:19:44
Original commit files touched by this commit  0.16.0
Revision:383227
demon search for other commits by this committer
Pet portlint.
04 Apr 2015 14:08:46
Original commit files touched by this commit  0.16.0
Revision:383226
demon search for other commits by this committer
Update to version 0.16.0;
Inherit blas dependency from py-numpy.
30 Oct 2014 11:52:49
Original commit files touched by this commit  0.15.2
Revision:371746
demon search for other commits by this committer
Explicitly link with libblas to avoid errors like
import sklearn.decomposition.pca
ImportError: /usr/local/lib/libcblas.so.2: Undefined symbol "cgemv_"
due to it trying to import pairwise_fast.so

PR:             194683

Update to version 0.15.2.
24 Oct 2014 16:50:43
Original commit files touched by this commit  0.15.0_1
Revision:371453
mva search for other commits by this committer
- Convert ports of science/ and security to new USES=python

Approved by:	portmgr (implicit)
10 Sep 2014 20:50:37
Original commit files touched by this commit  0.15.0_1
Revision:367888
gerald search for other commits by this committer
Update the default version of GCC in the Ports Collection from GCC 4.7.4
to GCC 4.8.3.

Part II, Bump PORTREVISIONs.

PR:		192025
Tested by:	antoine (-exp runs)
Approved by:	portmgr (implicit)
16 Jul 2014 11:53:13
Original commit files touched by this commit  0.15.0
Revision:362058
demon search for other commits by this committer
Update to versiob 0.15.0
10 Mar 2014 20:55:22
Original commit files touched by this commit  0.14.1_1
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)
18 Feb 2014 08:56:43
Original commit files touched by this commit  0.14.1
Revision:344846
demon search for other commits by this committer
Stagify.
18 Feb 2014 08:30:53
Original commit files touched by this commit  0.14.1
Revision:344840
demon search for other commits by this committer
Allow to choose between cblas and atlas ports.

Submitted by:	glebius
16 Feb 2014 17:15:32
Original commit files touched by this commit  0.14.1
Revision:344614
tijl search for other commits by this committer
Convert all USE_FORTRAN=yes to "USES=fortran, USE_GCC=yes".  In most cases
USE_GCC=yes has been omitted though.

Remove USE_FORTRAN handling from bsd.port.mk and bsd.gcc.mk.

Minor cleanups in some ports like USE_GMAKE, NOPORTDOCS,...

Exp-run:	bdrewery
Approved by:	portmgr (bdrewery)
05 Nov 2013 12:37:29
Original commit files touched by this commit  0.14.1
Revision:332841
demon search for other commits by this committer
Use PYDISTUTILS_AUTOPLIST.

Suggested by:	mva
05 Nov 2013 11:59:47
Original commit files touched by this commit  0.14.1
Revision:332835
demon search for other commits by this committer
Update to version 0.14.1
26 Oct 2013 00:52:36
Original commit files touched by this commit  0.13.1_1
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  0.13.1
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)
11 Mar 2013 14:11:27
Original commit files touched by this commit  0.13.1
Revision:313903
demon search for other commits by this committer
Update to version 0.13.1.
08 Nov 2012 11:37:48
Original commit files touched by this commit  0.12.1
Revision:307176
demon search for other commits by this committer
Fix dep.

Feature safe:	yes
08 Nov 2012 11:29:01
Original commit files touched by this commit  0.12.1
Revision:307173
demon search for other commits by this committer
Add missing depends.

Feature safe:	yes
19 Oct 2012 12:24:00
Original commit files touched by this commit  0.12.1
Revision:306115
demon search for other commits by this committer
scikit-learn is a Python module integrating classic machine learning
algorithms in the tightly-knit scientific Python world (numpy, scipy,
matplotlib).  It aims to provide simple and efficient solutions to
learning problems, accessible to everybody and reusable in various contexts:
machine-learning as a versatile tool for science and engineering.

WWW: http://scikit-learn.org/

Feature safe:	yes

Number of commits found: 21

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