Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble

Documentation for package ‘shapley’ version 0.4

h2o.get_ids	h2o.get_ids
normalize	Normalize a vector based on specified minimum and maximum values
shapley	Weighted average of SHAP values and weighted SHAP confidence intervals for a 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.selection	Selects the top features with highest weighted mean shap values based on the specified criteria
shapley.plot	Plot weighted SHAP contributions
shapley.row.plot	Weighted mean SHAP values computed at subject level
shapley.test	Normalize a vector based on specified minimum and maximum values
shapley.top	Select top features in a model
test	Weighted Permutation Test for Difference of Means