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.


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Reference manual

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install.packages("mlr3learners")

0.5.2 by Michel Lang, 4 days ago


https://mlr3learners.mlr-org.com, https://github.com/mlr-org/mlr3learners


Report a bug at https://github.com/mlr-org/mlr3learners/issues


Browse source code at https://github.com/cran/mlr3learners


Authors: Michel Lang [cre, aut] , Quay Au [aut] , Stefan Coors [aut] , Patrick Schratz [aut]


Documentation:   PDF Manual  


LGPL-3 license


Imports checkmate, data.table, mlr3misc, paradox, R6

Depends on mlr3

Suggests DiceKriging, distr6, e1071, glmnet, kknn, knitr, lgr, MASS, mlr3proba, nnet, pracma, ranger, rgenoud, rmarkdown, testthat, xgboost


Imported by DoubleML, NADIA, highMLR, mlr3shiny, mlr3verse, sense.

Depended on by GenericML.

Suggested by flashlight, mcboost, mlr3benchmark, mlr3filters, mlr3hyperband, mlr3pipelines, mlr3spatial, mlr3tuningspaces, mlr3viz, mlrintermbo, vetiver, vivid.


See at CRAN