FilterImportance: Filter for Embedded Feature Selection via Variable Importance
Description
Variable Importance filter using embedded feature selection of
machine learning algorithms. Takes a mlr3::Learner which is capable of
extracting the variable importance (property "importance"), fits the model
and extracts the importance values to use as filter scores.