Import py-scikit-learn-0.15.2.

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.
This commit is contained in:
Filip Hajny 2014-09-24 15:01:41 +00:00 committed by Thomas Klausner
parent 8c2cbca93b
commit 9b4585dd95
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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.

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# $NetBSD: Makefile,v 1.1 2014/09/24 15:01:41 fhajny Exp $
DISTNAME= scikit-learn-0.15.2
PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
EGG_NAME= ${DISTNAME:S/-/_/}
CATEGORIES= math
MASTER_SITES= https://pypi.python.org/packages/source/s/scikit-learn/
MAINTAINER= filip@joyent.com
HOMEPAGE= http://scikit-learn.org/
COMMENT= Machine learning algorithms for Python
LICENSE= modified-bsd
DEPENDS+= ${PYPKGPREFIX}-scipy>=0.9:../../math/py-scipy
USE_LANGUAGES= c c++ fortran
.include "../../lang/python/egg.mk"
.include "../../math/blas/buildlink3.mk"
.include "../../math/lapack/buildlink3.mk"
.include "../../math/py-numpy/buildlink3.mk"
.include "../../mk/bsd.pkg.mk"

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$NetBSD: distinfo,v 1.1 2014/09/24 15:01:41 fhajny Exp $
SHA1 (scikit-learn-0.15.2.tar.gz) = 584284da6c2753100674e096c0a37f8b11e7fb8b
RMD160 (scikit-learn-0.15.2.tar.gz) = ace7bdde06365de0ad437294eb2bf45093e8e1fb
Size (scikit-learn-0.15.2.tar.gz) = 7007922 bytes