freebsd-ports-gnome - FreeBSD GNOME current development ports (https://github.com/freebsd/freebsd-ports-gnome)

	Commit message (Collapse)	Author	Age	Files	Lines
*	- Update to 0.8.1	wen	2016-03-06	1	-2/+2
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*	- Update to 0.8.0	wen	2014-04-06	1	-2/+2
\| \| \| \| \| \|	- Stage support - Convert to PYDISTUTILS_AUTOPLIST - Add LICENSE
*	- Update to 0.7.3	wen	2013-06-01	1	-2/+2
\| \| \| \| \|	- Trim Makefile headers - Update COMMENT and WWW line
*	- Update to 0.7.1	wen	2012-09-04	1	-2/+2
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*	- Update to 0.7	wen	2012-04-18	1	-2/+2
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*	- Update to 0.6.10	wen	2012-04-05	1	-2/+2
\| \| \| \|	Feature safe: yes
*	- Update to 0.6.9	wen	2012-01-11	1	-2/+2
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*	- Update to 0.6.8	wen	2011-11-09	1	-2/+2
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*	- Update to 0.6.7	wen	2011-09-15	1	-2/+2
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*	- Update to 0.6.6	wen	2011-07-01	1	-2/+2
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*	- Update to 0.6.5	wen	2011-05-09	1	-2/+2
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*	- Update to 0.6.4	wen	2011-03-08	1	-2/+2
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*	- Update to 0.6.1	wen	2011-01-15	1	-2/+2
\| \| \| \|	Feature safe: yes
*	- Update to 0.6	wen	2010-12-06	1	-3/+2
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*	Another Python Graph Library is a simple, fast and easy to use graph library	wen	2010-10-28	1	-0/+3
	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/