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.
Author
Maintainer: Marc Becker marcbecker@posteo.de (ORCID)
Authors:
Patrick Schratz patrick.schratz@gmail.com (ORCID)
Michel Lang michellang@gmail.com (ORCID)
Bernd Bischl bernd_bischl@gmx.net (ORCID)
John Zobolas bblodfon@gmail.com (ORCID)