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

Documentation for package ‘shapley’ version 0.5

feature.selection	Selects the top features with highest weighted mean shap values based on the specified criteria
feature.test	Weighted Permutation Test for Difference of Means
h2o.get_ids	h2o.get_ids
normalize	Normalize a vector based on specified minimum and maximum values
shapley	Weighted Mean SHAP Ratio and Confidence Interval for a ML Grid of Fine-Tuned Models or Base-Learners of a Stacked Ensemble Model
shapley.domain	compute and plot weighted mean SHAP contributions at group level (factors or domains)
shapley.feature.test	Normalize a vector based on specified minimum and maximum values
shapley.plot	Plot weighted SHAP contributions
shapley.row.plot	Weighted mean SHAP values computed at subject level
shapley.table	Create SHAP Summary Table Based on the Given Criterion
shapley.top	Select top features in a model