I can not extract features importances from h2o learners, e.g. classif.h2o.randomForest or classif.h2o.glm using mlr::getFeatureImportance.

But h2o has the function h2o.varimp for this. So I have to do getLearnerModel(trained.learner) %>% h2o.varimp(). Is it possible to include this into getFeatureImportance or is there any reason why it is not included?