graphkit-learn

222 Commits

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345 MB

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Commit Graph

Author	SHA1	Message	Date
jajupmochi	22a1f1e8d8	1. add parallel computing scheme to spkernel and model_selection_precomputed. 2. modify model_selection_precomputed so that all results are written into memory and then to a file at last section of code, in case that on cpu/disk seperated systems the IO takes too much time. 3. correct utils.floyd_warshall_numpy function. DONNOT use the last version.	7 years ago
jajupmochi	efca08fb30	1. upgrate spkernel, now supporting symbolic and non-symbolic node labels, directed and undirected graphs, and allowing user-defined node kernels. 2. model_selection_precomputed can now save all results as human readable text. 3. modify pygraph.utils.utils.floydTransformation and pygraph.utils.graphdataset.get_dataset_attributes.	7 years ago

Author

SHA1

Message

Date

jajupmochi

22a1f1e8d8

1. add parallel computing scheme to spkernel and model_selection_precomputed.

2. modify model_selection_precomputed so that all results are written into memory and then to a file at last section of code, in case that on cpu/disk seperated systems the IO takes too much time.
3. correct utils.floyd_warshall_numpy function. DONNOT use the last version.

7 years ago

jajupmochi

efca08fb30

1. upgrate spkernel, now supporting symbolic and non-symbolic node labels, directed and undirected graphs, and allowing user-defined node kernels.

2. model_selection_precomputed can now save all results as human readable text.
3. modify pygraph.utils.utils.floydTransformation and pygraph.utils.graphdataset.get_dataset_attributes.

7 years ago

2 Commits (91eb4850f7b339b9559fff00ea15ca28527bef3e)