freebsd-ports/science/py-scikit-learn/Makefile

# Created by: Dmitry Sivachenko <demon@FreeBSD.org>
# $FreeBSD$

PORTNAME=	scikit-learn
PORTVERSION=	0.16.0
CATEGORIES=	science python
MASTER_SITES=	${MASTER_SITE_CHEESESHOP}
MASTER_SITE_SUBDIR=source/s/scikit-learn
PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}

MAINTAINER=	demon@FreeBSD.org
COMMENT=	Machine learning algorithms for python

BUILD_DEPENDS=	${PYNUMPY} \
		${PYTHON_SITELIBDIR}/scipy/version.py:${PORTSDIR}/science/py-scipy
RUN_DEPENDS:=	${BUILD_DEPENDS}

USES=		fortran python
USE_PYTHON=	distutils autoplist

LDFLAGS+=	-shared

.include <bsd.port.mk>
Add NO_STAGE all over the place in preparation for the staging support (cat: science) 2013-09-21 00:48:30 +02:00			`# Created by: Dmitry Sivachenko <demon@FreeBSD.org>`
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 2012-10-19 14:24:00 +02:00			`# $FreeBSD$`

			`PORTNAME= scikit-learn`
Update to version 0.16.0; Inherit blas dependency from py-numpy. 2015-04-04 16:08:45 +02:00			`PORTVERSION= 0.16.0`
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 2012-10-19 14:24:00 +02:00			`CATEGORIES= science python`
			`MASTER_SITES= ${MASTER_SITE_CHEESESHOP}`
			`MASTER_SITE_SUBDIR=source/s/scikit-learn`
			`PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}`

			`MAINTAINER= demon@FreeBSD.org`
			`COMMENT= Machine learning algorithms for python`

Update to version 0.16.0; Inherit blas dependency from py-numpy. 2015-04-04 16:08:45 +02:00			`BUILD_DEPENDS= ${PYNUMPY} \`
			`${PYTHON_SITELIBDIR}/scipy/version.py:${PORTSDIR}/science/py-scipy`
Pet portlint. 2015-04-04 16:19:43 +02:00			`RUN_DEPENDS:= ${BUILD_DEPENDS}`
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 2012-10-19 14:24:00 +02:00
- Convert ports of science/ and security to new USES=python Approved by: portmgr (implicit) 2014-10-24 18:50:42 +02:00			`USES= fortran python`
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. 2014-10-30 12:52:48 +01:00			`USE_PYTHON= distutils autoplist`
Allow to choose between cblas and atlas ports. Submitted by: glebius 2014-02-18 09:30:53 +01:00
Update to version 0.16.0; Inherit blas dependency from py-numpy. 2015-04-04 16:08:45 +02:00			`LDFLAGS+= -shared`
Pet portlint. 2015-04-04 16:19:43 +02:00
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 2012-10-19 14:24:00 +02:00			`.include <bsd.port.mk>`