svn commit: r306115 - in head/science: . py-scikit-learn
Dmitry Sivachenko
demon at FreeBSD.org
Fri Oct 19 12:24:01 UTC 2012
Author: demon
Date: Fri Oct 19 12:24:00 2012
New Revision: 306115
URL: http://svn.freebsd.org/changeset/ports/306115
Log:
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
Added:
head/science/py-scikit-learn/
head/science/py-scikit-learn/Makefile (contents, props changed)
head/science/py-scikit-learn/distinfo (contents, props changed)
head/science/py-scikit-learn/pkg-descr (contents, props changed)
head/science/py-scikit-learn/pkg-plist (contents, props changed)
Modified:
head/science/Makefile
Modified: head/science/Makefile
==============================================================================
--- head/science/Makefile Fri Oct 19 11:47:53 2012 (r306114)
+++ head/science/Makefile Fri Oct 19 12:24:00 2012 (r306115)
@@ -169,6 +169,7 @@
SUBDIR += py-openbabel
SUBDIR += py-paida
SUBDIR += py-pydicom
+ SUBDIR += py-scikit-learn
SUBDIR += py-scimath
SUBDIR += py-scipy
SUBDIR += py-ws2300
Added: head/science/py-scikit-learn/Makefile
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/science/py-scikit-learn/Makefile Fri Oct 19 12:24:00 2012 (r306115)
@@ -0,0 +1,25 @@
+# Created by: Dmitry Sivachenko <demon at FreeBSD.org>
+#
+# $FreeBSD$
+
+PORTNAME= scikit-learn
+PORTVERSION= 0.12.1
+CATEGORIES= science python
+MASTER_SITES= ${MASTER_SITE_CHEESESHOP}
+MASTER_SITE_SUBDIR=source/s/scikit-learn
+PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER= demon at FreeBSD.org
+COMMENT= Machine learning algorithms for python
+
+BUILD_DEPENDS= ${PYNUMPY}
+LIB_DEPENDS= cblas:${PORTSDIR}/math/cblas
+RUN_DEPENDS= ${PYNUMPY}
+
+USE_FORTRAN= yes
+LATEST_LINK= py-${PORTNAME}
+
+USE_PYTHON= -2.7
+USE_PYDISTUTILS= yes
+
+.include <bsd.port.mk>
Added: head/science/py-scikit-learn/distinfo
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/science/py-scikit-learn/distinfo Fri Oct 19 12:24:00 2012 (r306115)
@@ -0,0 +1,2 @@
+SHA256 (scikit-learn-0.12.1.tar.gz) = f542e58a15c93e118036801b55441470e9fc668e8811c39cc0f935a800ff8eaf
+SIZE (scikit-learn-0.12.1.tar.gz) = 2964072
Added: head/science/py-scikit-learn/pkg-descr
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/science/py-scikit-learn/pkg-descr Fri Oct 19 12:24:00 2012 (r306115)
@@ -0,0 +1,7 @@
+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/
Added: head/science/py-scikit-learn/pkg-plist
==============================================================================
--- /dev/null 00:00:00 1970 (empty, because file is newly added)
+++ head/science/py-scikit-learn/pkg-plist Fri Oct 19 12:24:00 2012 (r306115)
@@ -0,0 +1,848 @@
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+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/decomposition/tests
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/decomposition
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets/tests/data
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets/tests
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets/images
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets/descr
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets/data
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/datasets
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/covariance/tests
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/covariance
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/cluster/tests
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/cluster
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn/__check_build
+ at dirrm %%PYTHON_SITELIBDIR%%/sklearn
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