Interactive MLI Composite View

This worflow will show how to use the interactive views of JavaScript nodes to visualize in a single Composite View a number of Machine Learning Interpretability (MLI) techniques: SHAP explanations, Partial Dependence, Individual Conditional Expectation (ICE) curves and Surrogate Decision Tree.

This is a companion discussion topic for the original entry at

Hey everyone,
this post is able to create an interactive view to explore Shapley Values and ICE curves.
You can see the final result in this video on Twitter: