Internal function of predict_trait_MET().

Variable importance can be calculated based on model agnostic approaches (permutation-based methods, like for stacking_reg_1 or DL_reg), or on model-specific methods (gain metric for GBDT methods xgb_reg).

plot_results_vip(x, path_plot, type)

Arguments

x

List of results from the model fitted on the complete training set

path_folder

a character where the plots should be saved.

Value

A variable importance plot is saved in the path_folder. No specific object returned otherwise.

Author

Cathy C. Westhues cathy.jubin@uni-goettingen.de