/On-Feature-Removal-for-Explainability-in-Dynamic-Environments

Supplement Material for Paper Submission

Primary LanguagePython

Paper Supplement: On Feature Removal for Explainability in Dynamic Environments

📖 Supplement Material for this research paper: https://doi.org/10.14428/esann/2023.ES2023-148

The experiments and results presented in the paper are available in the projects/Removal module. The projects/Removal module contains the following submodules:

  • agrawal_stream.py: Script to run the experiments on the agrawal stream.
  • gaussian_stream.py: Script to run the experiments on the gaussian stream.
  • observational_interventional_agrawal.py: Script to create the illustrative example of the observational and interventional feature removals.
  • mdi.py: Module that contains the implementation of the MDI explainer.

The implementation of the explainers can be found in the iXAI module.

📊 Running the experiments

  1. Install requirements by running pip install -r requirements.txt.
  2. Navigate to iXAI root directory (cd iXAI) and install the ixai package by running pip install ..
  3. Navigate to the projects/Removal directory (cd projects/Removal) and run the experiments.