FSelectorSequential class that implements sequential feature selection. The sequential forward selection (strategy = fsf) extends the feature set in each step with the feature that increases the models performance the most. The sequential backward selection (strategy = fsb) starts with the complete future set and removes in each step the feature that decreases the models performance the least.

## Note

Feature sets are evaluated in batches, where each batch is one step in the sequential feature selection.

## Dictionary

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

### Method optimization_path()

Returns the optimization path.

#### Arguments

deep`

Whether to make a deep clone.