wangwei/graphkit-learn: A Python package for graph kernels, graph edit distances and graph pre-image problem. - graphkit-learn - 开源协同云脑生态支撑系统

文件历史

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 年前
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__init__.py	* ADD mean average path kernel and its result on dataset Asyclic. - linlin	8 年前

graphdataset.py	1. upgrate spkernel, now supporting symbolic and non-symbolic node labels, directed and undirected graphs, and allowing user-defined node kernels.	7 年前

graphfiles.py	Plus de choses sont changées...	7 年前

isNotebook.py	Plus de choses sont changées...	7 年前

kernels.py	1. upgrate spkernel, now supporting symbolic and non-symbolic node labels, directed and undirected graphs, and allowing user-defined node kernels.	7 年前

model_selection_precomputed.py	1. add parallel computing scheme to spkernel and model_selection_precomputed.	7 年前

suffix_tree.py	1. upgrate spkernel, now supporting symbolic and non-symbolic node labels, directed and undirected graphs, and allowing user-defined node kernels.	7 年前

utils.py	1. add parallel computing scheme to spkernel and model_selection_precomputed.	7 年前

A Python package for graph kernels, graph edit distances and graph pre-image problem.

机器学习图像处理物体识别图形处理

Text Jupyter Notebook Python C++ other

jajupmochi@gmail.com benoit.gauzere@insa-rouen.fr