Crandore Hub

mlr3fselect

Feature Selection for 'mlr3'

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.

Versions across snapshots

VersionRepositoryFileSize
1.5.1 2026-04-09 windows/windows R-4.5 mlr3fselect_1.5.1.zip 931.4 KiB

Dependencies (latest)

Depends

Imports

Suggests