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)
| x | List of results from the model fitted on the complete training set |
|---|---|
| path_folder | a |
A variable importance plot is saved in the path_folder. No specific object returned otherwise.
Cathy C. Westhues cathy.jubin@uni-goettingen.de