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freebsd-ports/math/py-fastcluster/Makefile

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math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 11:12:40 +00:00
# Created by: Johannes Meixner <xmj@chaot.net>
# $FreeBSD$
PORTNAME= fastcluster
PORTVERSION= 1.1.13
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 20:50:31 +00:00
PORTREVISION= 2
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 11:12:40 +00:00
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= xmj@chaot.net
COMMENT= Python functions for hierarchical clustering
LICENSE= BSD2CLAUSE
BUILD_DEPENDS= ${PYNUMPY}
RUN_DEPENDS= ${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy
PORTDOCS= CITATION.txt \
INSTALL.txt \
NEWS.txt \
README.txt
- Convert ports of math/ to new USES=python Approved by: portmgr (implicit)
2014-10-21 16:54:54 +00:00
USES= python
USE_PYTHON= distutils autoplist
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 11:12:40 +00:00
post-install:
${MKDIR} ${STAGEDIR}${DOCSDIR}
${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/|} ${STAGEDIR}${DOCSDIR}
.include <bsd.port.mk>
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