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python implementation for the GIME method in IJCAI 2021 "Learning Groupwise Explanations for Black-Box Models"

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python implementation for the GIME method in IJCAI 2021 "Learning Groupwise Explanations for Black-Box Models"

Packages

  • python 3.6.9
  • torch 1.2.0
  • numpy 1.16.2
  • scikit-learn 0.20.2
  • scipy 1.2.1

Structure

  • dataset
  • gime, the main implementation of our method
  • utils.py, helper functions
  • run.py, the pipeline to run our method

Run

python run.py, which loads the dataset (e.g., Wine), trains the target model (e.g., SVR), generates groupwise explanations, and evaluates the generalized fidelity.

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python implementation for the GIME method in IJCAI 2021 "Learning Groupwise Explanations for Black-Box Models"

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