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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/
17 lines
769 B
Plaintext
17 lines
769 B
Plaintext
Another Python Graph Library is a simple, fast and easy to use graph library
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with some machine learning features. The main features are as follows:
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* Directed, undirected and multigraphs designed under a hierarchical
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class structure
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* Sparse and Dense graph structures using numpy and scipy for fast linear
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algebra computations
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* Many operations on graphs such as subgraphs, search, Floyd-Warshall,
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|
Dijkstras algorithm
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|
* Erdos-Renyi, Small-World and Albert-Barabasi random graphs
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|
* Write to Pajek, and simple CSV files
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|
* Some machine learning features - data preprocessing, kernels, PCA, KCCA,
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wrappers for LibSVM, and some mlpy learning algorithms
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* Unit tested using the Python unittest framework
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WWW: http://packages.python.org/apgl/
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