FSelectorExhaustiveSearch class that implements an Exhaustive Search.

In order to support general termination criteria and parallelization, feature sets are evaluated in batches. The size of the feature sets is increased by 1 in each batch.

## Dictionary

This FSelector can be instantiated via the dictionary mlr_fselectors or with the associated sugar function fs():

### Method clone()

The objects of this class are cloneable with this method.

#### Usage

FSelectorExhaustiveSearch\$clone(deep = FALSE)

#### Arguments

deep

Whether to make a deep clone.