Measures the number of selected features by extracting it from learners with property "selected_features". If the learner does not support this, NA is returned.

This measure requires the Task and the Learner for scoring.

## Dictionary

This Measure can be instantiated via the dictionary mlr_measures or with the associated sugar function msr():

#### Arguments

normalize

(logical(1))
If set to TRUE, divides the number of features by the total number of features.

### Method clone()

The objects of this class are cloneable with this method.

#### Usage

MeasureSelectedFeatures\$clone(deep = FALSE)

#### Arguments

deep

Whether to make a deep clone.