# Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble

## Documentation for package ‘shapley’ version 0.4

- DESCRIPTION file.

## Help Pages

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