v0.2.3

Full changelog

Features

• Added an evaluation folder with scripts and notebooks for evaluating the performance of the method.
  • One evaluation focuses on stability and robustness of the method: see Classification_Experiment_stab_rob.py and Classification_Analysis_stab_rob.ipynb for running and evaluating the experiment.
  • One evaluation focuses on how different parameters affect the method regarding time and robustness: see Classification_Experiment_Ablation.py and Classification_Analysis_Ablation.ipynb for running and evaluating the experiment.

Fixes

• Fix in CalibratedExplainer to ensure that greater-than works identical as less-than.
• Bugfix in FactualExplanation._get_rules() which caused an error when categorical labels where missing.