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model-agnostic-toolkit


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Author: Chrismarie Enslin, Daniel Buschmann, Marcos PadrĂ³n Hinrichs, Felix Sohnius, Robert H. Schmitt
License: MIT
Summary: Toolkit with model agnostic methods of Explainable Artificial Intelligence for Python.
Latest version: 1.0.0
Required dependencies: alibi | bunch | ipython | joblib | matplotlib | numpy | pandas | pdpbox | plotly | psutil | pyale | ray | requests | scikit-learn | scipy | seaborn | setuptools | shap | tables | torch | xgboost

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