Date: Tue, 17 Dec 2013 13:31:14 +0200 (EET) From: Johannes Jost Meixner <xmj@chaot.net> To: FreeBSD-gnats-submit@freebsd.org Subject: ports/184931: [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering Message-ID: <3174122997.enqueue@mx12.chaot.net> Resent-Message-ID: <201312171140.rBHBe0EG074599@freefall.freebsd.org>
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>Number: 184931
>Category: ports
>Synopsis: [NEW PORT] math/py-fastcluster: Python functions for hierarchical clustering
>Confidential: no
>Severity: non-critical
>Priority: low
>Responsible: freebsd-ports-bugs
>State: open
>Quarter:
>Keywords:
>Date-Required:
>Class: change-request
>Submitter-Id: current-users
>Arrival-Date: Tue Dec 17 11:40:00 UTC 2013
>Closed-Date:
>Last-Modified:
>Originator: Johannes Jost Meixner
>Release: FreeBSD 11.0-CURRENT amd64
>Organization:
Goldener Grund OUe
>Environment:
System: FreeBSD mx12.chaot.net 11.0-CURRENT FreeBSD 11.0-CURRENT #4: Wed Dec 11 13:21:24 EET 2013
>Description:
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
Generated with FreeBSD Port Tools 0.99_8 (mode: new)
>How-To-Repeat:
>Fix:
--- .shar begins here ---
# This is a shell archive. Save it in a file, remove anything before
# this line, and then unpack it by entering "sh file". Note, it may
# create directories; files and directories will be owned by you and
# have default permissions.
#
# This archive contains:
#
# py-fastcluster
# py-fastcluster/Makefile
# py-fastcluster/distinfo
# py-fastcluster/pkg-descr
#
echo c - py-fastcluster
mkdir -p py-fastcluster > /dev/null 2>&1
echo x - py-fastcluster/Makefile
sed 's/^X//' >py-fastcluster/Makefile << '57ba3d302594e57000af2f79dc417484'
X# Created by: Johannes Meixner <xmj@chaot.net>
X# $FreeBSD$
X
XPORTNAME= fastcluster
XPORTVERSION= 1.1.13
XCATEGORIES= math python
XMASTER_SITES= CHEESESHOP
XPKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
X
XMAINTAINER= xmj@chaot.net
XCOMMENT= Python functions for hierarchical clustering
X
XLICENSE= BSD
X
XBUILD_DEPENDS= ${PYNUMPY}
XRUN_DEPENDS= ${PYNUMPY} \
X ${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy
X
XPORTDOCS= CITATION.txt \
X INSTALL.txt \
X NEWS.txt \
X README.txt
X
XUSE_PYTHON= yes
XUSE_PYDISTUTILS= yes
XPYDISTUTILS_AUTOPLIST= yes
X
Xpost-install:
X ${MKDIR} ${STAGEDIR}${DOCSDIR}
X ${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/|} ${STAGEDIR}${DOCSDIR}
X
X.include <bsd.port.mk>
57ba3d302594e57000af2f79dc417484
echo x - py-fastcluster/distinfo
sed 's/^X//' >py-fastcluster/distinfo << '300ac8bf27a410cfeef3db86f10f8a15'
XSHA256 (fastcluster-1.1.13.tar.gz) = abdf99d327e6e6569dc2782eaca1d6ed2ced88ab6c6b43c8e9850dae66f9648c
XSIZE (fastcluster-1.1.13.tar.gz) = 148538
300ac8bf27a410cfeef3db86f10f8a15
echo x - py-fastcluster/pkg-descr
sed 's/^X//' >py-fastcluster/pkg-descr << '04beafbded5ca363324250cfc8f868a7'
XFastcluster provides Python functions for hierarchical clustering. It generates
Xhierarchical clusters from distance matrices or from vector data.
X
XPart of this module is intended to replace the functions
X linkage, single, complete, average, weighted, centroid, median, ward
Xin the module scipy.cluster.hierarchy with the same functionality but much
Xfaster algorithms. Moreover, the function 'linkage_vector' provides
Xmemory-efficient clustering for vector data.
X
XThe interface is very similar to MATLAB's Statistics Toolbox API to make code
Xeasier to port from MATLAB to Python/Numpy. The core implementation of this
Xlibrary is in C++ for efficiency.
X
XWWW: http://danifold.net/fastcluster.html
04beafbded5ca363324250cfc8f868a7
exit
--- .shar ends here ---
>Release-Note:
>Audit-Trail:
>Unformatted:
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