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.
Feature sets are evaluated in batches, where each batch is one step in the sequential feature selection.
sfs (forward search) or
sbs (backward search).
Creates a new instance of this R6 class.`
Returns the optimization path.
Instance optimized with FSelectorSequential.
The objects of this class are cloneable with this method.
FSelectorSequential$clone(deep = FALSE)
Whether to make a deep clone.