Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid

Documentation for package ‘shapley’ version 0.6.0

feature.selection	Select top features by weighted mean SHAP (WMSHAP)
feature.test	Weighted permutation test for paired difference of means
h2o.get_ids	Extract model IDs from H2O AutoML or Grid objects
normalize	Normalize a vector based on specified minimum and maximum values
shapley	Weighted Mean SHAP (WMSHAP) and Confidence Interval for Multiple Models (tuning grid, stacked ensemble, etc.)
shapley.domain	Compute and plot weighted mean SHAP contributions at group level (factors or domains)
shapley.domain.test	Weighted permutation test for difference between two domains
shapley.feature.test	Weighted permutation test for WMSHAP difference between two features
shapley.plot	Plot weighted mean SHAP (WMSHAP) contributions
shapley.row.plot	WMSHAP row-level plot for a single observation (participant or data row)
shapley.table	Create WMSHAP Summary Table Based on the Given Criterion
shapley.top	Flag and rank features by WMSHAP cutoffs