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graphkit-learn/notebooks/libs.py

libs.py 196 B
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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
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rename library.
5 years ago
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
 12345678 
  1. import sys

  2. import pathlib

  3. sys.path.insert(0, "../")

  4. 

  5. import numpy as np

  6. 

  7. from gklearn.utils.model_selection_precomputed import model_selection_for_precomputed_kernel

  8. from datasets.ds import dslist

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