The generic function for extracting variable importances from a model within the easyml core framework, if such an operation is applicable for that model. Users can create their own extract_variable_importances function for their own class of model.

extract_variable_importances(object)

Arguments

object

A list of class easy_*, where * is the name of the algorithm.

Value

A data.frame, the generated random forest variable importance scores.