Toolkit with model agnostic methods of Explainable Artificial Intelligence for Python.
Project description
The Model Agnostic Toolkit is a package for determining the effect of individual features
and their interplay toward a target variable for tabular datasets.
It includes tools for:
- Individual feature importances
- Feature pair interactions
For more details, please refer to the project documentation.
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