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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Patrick Schratz, 5 months ago
Report a bug at https://github.com/mlr-org/mlr3filters/issues
Browse source code at
Patrick Schratz [aut, cre]
Michel Lang [aut]
Bernd Bischl [aut]
Martin Binder [aut]
Imports backports, checkmate, data.table, mlr3, mlr3misc, paradox, R6
Suggests care, caret, FSelectorRcpp, lgr, mlr3learners, mlr3measures, praznik, rpart, testthat
mlr3pipelines, mlr3spatiotempcv, mlr3viz.
See at CRAN