Filter Based Feature Selection for 'mlr3'

Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.


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Reference manual

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install.packages("mlr3filters")

0.3.0 by Patrick Schratz, 3 months ago


https://mlr3filters.mlr-org.com, https://github.com/mlr-org/mlr3filters


Report a bug at https://github.com/mlr-org/mlr3filters/issues


Browse source code at https://github.com/cran/mlr3filters


Authors: Patrick Schratz [aut, cre] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut]


Documentation:   PDF Manual  


LGPL-3 license


Imports backports, checkmate, data.table, mlr3, mlr3misc, paradox, R6

Suggests care, caret, FSelectorRcpp, lgr, mlr3learners, mlr3measures, praznik, rpart, testthat


Depended on by mlr3verse.

Suggested by mlr3pipelines, mlr3viz.


See at CRAN