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TIC is a library that acts as a Toolbox for Interpretability Comparison.

Project description

Library to the Toolbox for Interpretability Comparison

Build Status PyPI

Features

  • Interface to create interpretations as:

History

0.1.0 (2019-10-04)

  • Package skeleton

0.2.0 (2019-10-08)

  • Feature Importance Extraction from different interpretability models:
    • Direct feature importances
    • Global surrogate models
    • LIME
    • SHAP
  • Updated documentation served here.

Project details


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