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freebsd-ports/math/py-apgl/Makefile

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- Update to 0.7.3 - Trim Makefile headers - Update COMMENT and WWW line
2013-06-01 16:09:58 +02:00
# Created by: Wen Heping <wenheping@gmail.com>
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
# $FreeBSD$
PORTNAME= apgl
- Update to 0.8.0 - Stage support - Convert to PYDISTUTILS_AUTOPLIST - Add LICENSE
2014-04-06 09:04:43 +02:00
PORTVERSION= 0.8.0
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
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= wen@FreeBSD.org
- Update to 0.7.3 - Trim Makefile headers - Update COMMENT and WWW line
2013-06-01 16:09:58 +02:00
COMMENT= Fast python graph library with some machine learning features
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
- Update to 0.8.0 - Stage support - Convert to PYDISTUTILS_AUTOPLIST - Add LICENSE
2014-04-06 09:04:43 +02:00
LICENSE= GPLv3
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
BUILD_DEPENDS= ${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}scipy>0.7.0:${PORTSDIR}/science/py-scipy
- Update to 0.6.8
2011-11-09 08:07:23 +01:00
RUN_DEPENDS:= ${BUILD_DEPENDS}
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
- Convert ports of math/ to new USES=python Approved by: portmgr (implicit)
2014-10-21 18:54:54 +02:00
USES= python
USE_PYTHON= distutils autoplist
Another Python Graph Library is a simple, fast and easy to use graph library with some machine learning features. The main features are as follows: * Directed, undirected and multigraphs designed under a hierarchical class structure * Sparse and Dense graph structures using numpy and scipy for fast linear algebra computations * Many operations on graphs such as subgraphs, search, Floyd-Warshall, Dijkstras algorithm * Erdos-Renyi, Small-World and Albert-Barabasi random graphs * Write to Pajek, and simple CSV files * Some machine learning features - data preprocessing, kernels, PCA, KCCA, wrappers for LibSVM, and some mlpy learning algorithms * Unit tested using the Python unittest framework WWW: http://packages.python.org/apgl/
2010-10-28 15:20:08 +02:00
.include <bsd.port.mk>
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