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
25 lines
538 B
Makefile
25 lines
538 B
Makefile
# Created by: Dmitry Sivachenko <demon@FreeBSD.org>
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#
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# $FreeBSD$
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PORTNAME= scikit-learn
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PORTVERSION= 0.12.1
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CATEGORIES= science python
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MASTER_SITES= ${MASTER_SITE_CHEESESHOP}
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MASTER_SITE_SUBDIR=source/s/scikit-learn
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= demon@FreeBSD.org
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COMMENT= Machine learning algorithms for python
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BUILD_DEPENDS= ${PYNUMPY}
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LIB_DEPENDS= cblas:${PORTSDIR}/math/cblas
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RUN_DEPENDS= ${PYNUMPY}
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USE_FORTRAN= yes
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LATEST_LINK= py-${PORTNAME}
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USE_PYTHON= -2.7
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USE_PYDISTUTILS= yes
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.include <bsd.port.mk>
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