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

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

PORTNAME=	scikit-learn
PORTVERSION=	0.15.0
PORTREVISION=	1
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}
RUN_DEPENDS=	${PYNUMPY} \
		${PYTHON_PKGNAMEPREFIX}scipy>0.8.0:${PORTSDIR}/science/py-scipy

USES=		fortran

OPTIONS_SINGLE=		BLAS
OPTIONS_SINGLE_BLAS=	CBLAS ATLAS
OPTIONS_DEFAULT=	CBLAS
CBLAS_DESC=	Use math/cblas as BLAS library
ATLAS_DESC=	Use math/atlas as BLAS library

CBLAS_LIB_DEPENDS=	libcblas.so:${PORTSDIR}/math/cblas
ATLAS_LIB_DEPENDS=	libcblas.so:${PORTSDIR}/math/atlas

LATEST_LINK=	py-${PORTNAME}

USE_PYTHON=	yes
USE_PYDISTUTILS=	yes
PYDISTUTILS_AUTOPLIST=	yes

.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 versiob 0.15.0 2014-07-16 13:53:12 +02:00			`PORTVERSION= 0.15.0`
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) 2014-09-10 22:50:31 +02:00			`PORTREVISION= 1`
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`

			`BUILD_DEPENDS= ${PYNUMPY}`
Add missing depends. Feature safe: yes 2012-11-08 12:29:01 +01:00			`RUN_DEPENDS= ${PYNUMPY} \`
Fix dep. Feature safe: yes 2012-11-08 12:37:48 +01:00			`${PYTHON_PKGNAMEPREFIX}scipy>0.8.0:${PORTSDIR}/science/py-scipy`
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 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) 2014-02-16 18:15:31 +01:00			`USES= fortran`
Allow to choose between cblas and atlas ports. Submitted by: glebius 2014-02-18 09:30:53 +01:00
			`OPTIONS_SINGLE= BLAS`
			`OPTIONS_SINGLE_BLAS= CBLAS ATLAS`
			`OPTIONS_DEFAULT= CBLAS`
			`CBLAS_DESC= Use math/cblas as BLAS library`
			`ATLAS_DESC= Use math/atlas as BLAS library`

			`CBLAS_LIB_DEPENDS= libcblas.so:${PORTSDIR}/math/cblas`
			`ATLAS_LIB_DEPENDS= libcblas.so:${PORTSDIR}/math/atlas`

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			`LATEST_LINK= py-${PORTNAME}`

Update to version 0.14.1 2013-11-05 12:59:47 +01:00			`USE_PYTHON= yes`
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			`USE_PYDISTUTILS= yes`
Use PYDISTUTILS_AUTOPLIST. Suggested by: mva 2013-11-05 13:37:28 +01:00			`PYDISTUTILS_AUTOPLIST= yes`
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>`