H2O Eval Studio Examples
Examples of how to use H2O Eval Studio:
Explainers Examples
- Explainers in Jupyter Notebooks Examples
- Decision Tree Surrogate Explainer Demo
- Summary Shapley Explainer Demo
- Original Feature Importance Explainer (Kernel SHAP) Demo
- Original Feature Importance Explainer for MOJO Models (Naive Shapley method) Demo
- Shapley Values for Transformed Features of MOJO Models Demo
- Partial dependence / Individual Conditional Expectation (PD/ICE) Explainer Demo
- Partial Dependence for 2 Features Explainer Demo
- Residual Partial dependence / Individual Conditional Expectation (PD/ICE) Explainer Demo
- Residual Decision Tree Surrogate Explainer Demo
- Disparate Impact Analysis (DIA) Explainer Demo
- Friedman H-statistic Explainer Demo
- Morris Sensitivity Analysis Explainer Demo
- Dataset and Model Insights Explainer Demo
- H2O Eval Studio Model Validation Explainers
- Pre-requisites
- Interpretation: CLI
- Use CLI to run H2O MV based explainers
Models Examples
Command Line Interface Examples
Enterprise h2oGPT Examples
All examples can be also found in:
H2O Eval Studio distribution:
examples/explainers/
H2O.ai private GitHub github.com/h2oai/h2o-sonar repository