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mlr3fselect

Feature Selection for 'mlr3'

Implements methods for feature selection with 'mlr3', e.g. random search and sequential selection. Various termination criteria can be set and combined. The class 'AutoFSelector' provides a convenient way to perform nested resampling in combination with 'mlr3'.

Functions (17)

ArchiveFSelect

Logging object for objective function evaluations

AutoFSelector

AutoFSelector

FSelectInstanceMultiCrit

Multi Criterion Feature Selection Instance

FSelectInstanceSingleCrit

Single Criterion Feature Selection Instance

FSelector

FSelector

FSelectorDesignPoints

Feature Selection via Design Points

FSelectorExhaustiveSearch

Feature Selection via Exhaustive Search

FSelectorFromOptimizer

FSelectorFromOptimizer

FSelectorGeneticSearch

Feature Selection via Genetic Search

FSelectorRFE

Feature Selection via Recursive Feature Elimination

FSelectorRandomSearch

Feature Selection via Random Search

FSelectorSequential

Feature Selection via Sequential Selection

ObjectiveFSelect

ObjectiveFSelect

Syntactic Sugar for FSelect Construction

mlr3fselect-package

mlr3fselect: Feature Selection for 'mlr3'

mlr_fselectors

mlr_fselectors

reexports

Objects exported from other packages

mlr3fselect

Feature Selection for 'mlr3'

v0.5.1

LGPL-3

Authors

Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)

Initial release

mlr3fselect

Functions (17)

mlr3fselect

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