Explainers in Jupyter Notebooks Examples

H2O Eval Studio explainer examples.

Surrogate Decision Tree Explainer Example

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Shapley Summary Plot for Original Features (Naive Shapley Method) Explainer Example

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Shapley Values for Original Features (Kernel SHAP Method) Explainer Example

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Shapley Values for Original Features of MOJO Models (Naive Method) Explainer Example

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Shapley Values for Transformed Features of MOJO Models Explainer Example

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Partial Dependence/Individual Conditional Expectations (PD/ICE) Explainer Example

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  • H2O Eval Studio distribution: examples/explainers/h2o-sonar-pd-explainer.ipynb

  • H2O.ai private GitHub repository: h2o-sonar-pd-explainer.ipynb

Partial Dependence for 2 Features Explainer Example

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  • H2O Eval Studio distribution: examples/explainers/h2o-sonar-pd-for-2-features-explainer.ipynb

  • H2O.ai private GitHub repository: h2o-sonar-pd-explainer.ipynb

Residual Partial Dependence/Individual Conditional Expectations (PD/ICE) Explainer Example

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Residual Surrogate Decision Tree Explainer Example

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Disparate Impact Analysis (DIA) Explainer

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  • H2O Eval Studio distribution: examples/explainers/h2o-sonar-dia-explainer.ipynb

  • H2O.ai private GitHub repository: h2o-sonar-dia-explainer.ipynb

Friedman's H-statistic Explainer

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Morris Sensitivity Analysis Explainer

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Dataset and Model Insights Explainer

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