mlr3learners: Recommended Learners for 'mlr3'

Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.

Version: 0.4.2
Depends: R (≥ 3.1.0)
Imports: data.table, mlr3 (≥ 0.6.0), mlr3misc (≥ 0.5.0), paradox, R6
Suggests: checkmate, DiceKriging, distr6, e1071, glmnet, kknn, knitr, lgr, MASS, mlr3proba (≥ 0.2.2), nnet, pracma, ranger, rgenoud, rmarkdown, testthat, xgboost
Published: 2020-11-11
Author: Michel Lang ORCID iD [cre, aut], Quay Au ORCID iD [aut], Stefan Coors ORCID iD [aut], Patrick Schratz ORCID iD [aut]
Maintainer: Michel Lang <michellang at>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3learners results


Reference manual: mlr3learners.pdf
Package source: mlr3learners_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mlr3learners_0.4.2.tgz, r-oldrel: mlr3learners_0.4.2.tgz
Old sources: mlr3learners archive

Reverse dependencies:

Reverse depends: mlr3verse
Reverse imports: mlr3shiny, NADIA
Reverse suggests: flashlight, mlr3benchmark, mlr3filters, mlr3hyperband, mlr3pipelines, mlr3viz


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