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