Recommended Learners for 'mlr3'. Extends 'mlr3' 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: 0.12.0 Depends: mlr3 (≥ 0.23.0), R (≥ 3.1.0) Imports: checkmate, data.table, mlr3misc (≥ 0.9.4), paradox (≥ 1.0.0), R6 Suggests: DiceKriging, e1071, glmnet, kknn, knitr, lgr, MASS, nnet, pracma, ranger, rgenoud, rmarkdown, testthat (≥ 3.0.0), xgboost (≥ 1.6.0) Published: 2025-05-23 DOI: 10.32614/CRAN.package.mlr3learners Author: Michel Lang [aut], Quay Au [aut], Stefan Coors [aut], Patrick Schratz [aut], Marc Becker [cre, aut], John Zobolas [aut] Maintainer: Marc Becker <marcbecker at posteo.de> BugReports: https://github.com/mlr-org/mlr3learners/issues License: LGPL-3 URL: https://mlr3learners.mlr-org.com, https://github.com/mlr-org/mlr3learners NeedsCompilation: no Materials: README, NEWS CRAN checks: mlr3learners results Documentation: Downloads: Reverse dependencies: Reverse depends: GenericML, mlr3superlearner Reverse imports: DoubleML, highMLR, mlr3fairness, mlr3shiny, mlr3verse, sense, SIAMCAT, spFSR Reverse suggests: counterfactuals, cpi, explainer, MantaID, mcboost, miesmuschel, mlr3benchmark, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3pipelines, mlr3spatial, mlr3summary, mlr3tuning, mlr3tuningspaces, mlr3viz, mlrintermbo, paradox, survivalsurrogate, vetiver Linking:Please use the canonical form https://CRAN.R-project.org/package=mlr3learners to link to this page.
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