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")

0.4.2 by Patrick Schratz, 5 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


Imported by mlr3verse, sense.

Suggested by mlr3pipelines, mlr3spatiotempcv, mlr3viz.


See at CRAN