The Evaluation Toolkit for Model Agnostic Methods is a package for evaluating model-agnostic interpretable methods built on top of the Model Agnostic Toolkit, for both global and local (individual-instance) explanations on regression and classification tasks.
It includes metrics for:
- Correctness of feature importance and interaction results
- Stability and repeatability across repeated runs
- Real-time capability (duration and scalability)
- Quality of local explanations for individual instances
For more details, please refer to the project documentation.
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Release files for evaluation-toolkit-for-model-agnostic-methods 1.0.0
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Built distribution (wheel)
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| evaluation_toolkit_for_model_agnostic_methods-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for evaluation_toolkit_for_model_agnostic_methods-1.0.0-py3-none-any.whl |
Total release size: 159.6 kB
Release files / evaluation_toolkit_for_model_agnostic_methods-1.0.0.tar.gz
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Release files / evaluation_toolkit_for_model_agnostic_methods-1.0.0-py3-none-any.whl
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| Tags | Python 3 |
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