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

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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
PORTNAME= scikit-learn
science/py-scikit-learn: Update to 1.0.2 PR: 260647 Reported by: yuri@
2021-12-26 05:31:19 +01:00
DISTVERSION= 1.0.2
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. WWW: http://scikit-learn.org/ Feature safe: yes
2012-10-19 14:24:00 +02:00
CATEGORIES= science python
MASTER_SITES cleanup. - Replace ${MASTER_SITE_FOO} with FOO. - Merge MASTER_SITE_SUBDIR into MASTER_SITES when possible. (This means 99.9% of the time.) - Remove occurrences of MASTER_SITE_LOCAL when no subdirectory was present and no hint of what it should be was present. - Fix some logic. - And generally, make things more simple and easy to understand. While there, add magic values to the FESTIVAL, GENTOO, GIMP, GNUPG, QT and SAMBA macros. Also, replace some EXTRACT_SUFX occurences with USES=tar:*. Checked by: make fetch-urlall-list With hat: portmgr Sponsored by: Absolight
2015-05-14 12:15:04 +02:00
MASTER_SITES= CHEESESHOP
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
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
- Update to 0.22 - Take maintainership PR: 238718 Submitted by: wenheping2000@hotmail.com(myself) Thanks to: demon, koobs@, geraud@gcu.info
2019-12-17 14:09:33 +01:00
MAINTAINER= wen@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
COMMENT= Machine learning algorithms for python
- Add LICENSE Approved by: portmgr blanket
2018-10-30 10:00:15 +01:00
LICENSE= BSD3CLAUSE
LICENSE_FILE= ${WRKSRC}/COPYING
Update to version 0.16.0; Inherit blas dependency from py-numpy.
2015-04-04 16:08:45 +02:00
BUILD_DEPENDS= ${PYNUMPY} \
science/py-scikit-learn: Update to 1.0.2 PR: 260647 Reported by: yuri@
2021-12-26 05:31:19 +01:00
${PYTHON_PKGNAMEPREFIX}scipy>=1.1.0:science/py-scipy@${PY_FLAVOR}
Pet portlint.
2015-04-04 16:19:43 +02:00
RUN_DEPENDS:= ${BUILD_DEPENDS}
scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit scientific Python world (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems, accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering. WWW: http://scikit-learn.org/ Feature safe: yes
2012-10-19 14:24:00 +02:00
science/py-scikit-learn: Update to 1.0.2 PR: 260647 Reported by: yuri@
2021-12-26 05:31:19 +01:00
USES= fortran python:3.7+ localbase
- Update to 0.22 - Take maintainership PR: 238718 Submitted by: wenheping2000@hotmail.com(myself) Thanks to: demon, koobs@, geraud@gcu.info
2019-12-17 14:09:33 +01:00
USE_PYTHON= distutils autoplist cython
Pet portlint.
2015-04-04 16:19:43 +02:00
science/py-scikit-learn: Update 0.19.2 -> 0.20.1 Port changes: * Use DISTVERSION * Add LIB_DEPENDS * Add workaround for the wrong element in plist PR: 233555 Approved by: demon (maintainer)
2018-11-27 18:21:37 +01:00
POST_PLIST= fix-plist
fix-plist: # https://github.com/scikit-learn/scikit-learn/issues/12681
@${REINPLACE_CMD} -e "s|lib/python.*/sklearn/datasets/tests/data/openml$$||" ${TMPPLIST}
science/py-scikit-learn: Update to 1.0.2 PR: 260647 Reported by: yuri@
2021-12-26 05:31:19 +01:00
post-install: # strip binaries
@${STRIP_CMD} \
${STAGEDIR}${PYTHON_SITELIBDIR}/sklearn/*.cpython*.so \
${STAGEDIR}${PYTHON_SITELIBDIR}/sklearn/*/*.cpython*.so \
${STAGEDIR}${PYTHON_SITELIBDIR}/sklearn/*/*/*.cpython*.so
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>
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