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mlr3tuning uses the AutoTuner class as a wrapper for automated tuning in nested resampling.
We should also implement the wrapper methods in a class AutoSelect (or a similar name) to stay consistent.
Sticking closely to the implementation in mlr3tuning.
Methods
Ported from what we have in mlr.
Exhaustive search makeFeatSelControlExhaustive
Genetic algorithm makeFeatSelControlGA
Random search makeFeatSelControlRandom
Deterministic forward or backward search makeFeatSelControlSequential
cross-ref #2
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