13 Commits

Author	SHA1	Message	Date
Wen Heping	10899c150a	- Update to 0.7.3 ... - Trim Makefile headers - Update COMMENT and WWW line	2013-06-01 14:09:58 +00:00
Wen Heping	a573e2bed5	- Update to 0.7.1	2012-09-04 07:14:51 +00:00
Wen Heping	aa7add0b40	- Update to 0.7	2012-04-18 00:11:43 +00:00
Wen Heping	9d93c125d1	- Update to 0.6.10 ... Feature safe: yes	2012-04-05 09:22:25 +00:00
Wen Heping	88fdecca5f	- Update to 0.6.9	2012-01-11 05:26:07 +00:00
Wen Heping	3a0605e264	- Update to 0.6.8	2011-11-09 07:07:23 +00:00
Wen Heping	13dab27501	- Update to 0.6.7	2011-09-15 06:15:39 +00:00
Wen Heping	b6ce27fc11	- Update to 0.6.6	2011-07-01 06:15:51 +00:00
Wen Heping	10ae48aab5	- Update to 0.6.5	2011-05-09 06:40:42 +00:00
Wen Heping	8b34ddc25f	- Update to 0.6.4	2011-03-08 07:39:55 +00:00
Wen Heping	cad8c56a8e	- Update to 0.6.1 ... Feature safe: yes	2011-01-15 14:03:52 +00:00
Wen Heping	ee09e7d496	- Update to 0.6	2010-12-06 13:57:30 +00:00
Wen Heping	5745b0e03d	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 13:20:08 +00:00