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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0.4.2 by Patrick Schratz, 5 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, sense.

Suggested by mlr3pipelines, mlr3spatiotempcv, mlr3viz.

See at CRAN