f_model_importance: model importance
In erblast/oetteR: Collection of personal R functions

Description Usage Arguments Value Examples

supports rpart, randomForest, svm and caret will return NULL for other models

1	f_model_importance(m, data)

`m`	model
`data`	training data

tibble

pl = pipelearner::pipelearner(mtcars) %>%
  pipelearner::learn_models( rpart::rpart, disp~. ) %>%
  pipelearner::learn_models( randomForest::randomForest, disp~. ) %>%
  pipelearner::learn_models( e1071::svm, disp~. ) %>%
  pipelearner::learn() %>%
  mutate( imp = map2(fit, train, f_model_importance) )
pl$imp