mlproject.postprocess.feature_importances

Functions for getting feature importances data from ARFS, PFI and SHAP values from trained models

Functions

aggregate_importances	Aggregate feature importance DataFrames across folds.
get_arfs_mean_feature_importances	Get mean feature importances across GrootCV runs.
get_modnet_pfi_shap_summary	Load trained MODNet models (5 folds), compute PFI + SHAP values
get_rf_pfi_shap_summary	Load trained RandomForest models (5 folds), compute PFI + SHAP values
process_dataset	Process MODData to get scaled feature array for a given MODNetModel.