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.


Reference manual

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0.4.1 by Patrick Schratz, 3 months ago,

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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.

Suggested by mlr3pipelines, mlr3spatiotempcv, mlr3viz.

See at CRAN