mlr3fselect.internal_tuning

<p>This callback runs internal tuning alongside the feature selection.
The internal tuning values are aggregated and stored in the results.
The final model is trained with the best feature set and the tuned value.</p>

Feature selection package of the 'mlr3' ecosystem. It selects
the optimal feature set for any 'mlr3' learner. The package works with
several optimization algorithms e.g. Random Search, Recursive Feature
Elimination, and Genetic Search. Moreover, it can automatically
optimize learners and estimate the performance of optimized feature
sets with nested resampling.

Marc Becker

mlr3fselect

Feature Selection for 'mlr3'

Patrick Schratz

Michel Lang

Bernd Bischl

John Zobolas

mlr3fselect.internal_tuning function

Internal Tuning Callback — mlr3fselect.internal_tuning

Internal Tuning Callback

mlr3fselect.internal_tuning: Internal Tuning Callback

Description

Arguments

Examples