mlr3learners: Recommended Learners for 'mlr3'
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: | 0.14.0 |
| Depends: | mlr3 (≥ 1.2.0), R (≥ 3.3.0) |
| Imports: | checkmate, data.table, methods, mlr3misc (≥ 0.9.4), paradox (≥ 1.0.0), R6 |
| Suggests: | DiceKriging, e1071, future, glmnet, kknn, knitr, lgr, MASS, mirai, nnet, pracma, ranger, rgenoud, rmarkdown, testthat (≥ 3.0.0), xgboost (≥ 3.1.2.1) |
| Published: | 2025-12-13 |
| 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: | yes |
| Materials: | README, NEWS |
| CRAN checks: | mlr3learners results |
Documentation:
| Reference manual: | mlr3learners.html , mlr3learners.pdf |
Downloads:
| Package source: | mlr3learners_0.14.0.tar.gz |
| Windows binaries: | r-devel: mlr3learners_0.14.0.zip, r-release: mlr3learners_0.14.0.zip, r-oldrel: mlr3learners_0.14.0.zip |
| macOS binaries: | r-release (arm64): mlr3learners_0.14.0.tgz, r-oldrel (arm64): mlr3learners_0.14.0.tgz, r-release (x86_64): mlr3learners_0.14.0.tgz, r-oldrel (x86_64): mlr3learners_0.14.0.tgz |
| Old sources: | mlr3learners archive |
Reverse dependencies:
| Reverse depends: | GenericML, mlr3superlearner |
| Reverse imports: | DoubleML, highMLR, mlr3fairness, mlr3shiny, mlr3verse, sense, SIAMCAT, spFSR, VIM, xtdml |
| Reverse suggests: | counterfactuals, cpi, explainer, MantaID, mcboost, miesmuschel, mlr3benchmark, mlr3filters, mlr3fselect, mlr3hyperband, mlr3mbo, mlr3pipelines, mlr3resampling, mlr3spatial, mlr3summary, mlr3tuning, mlr3tuningspaces, mlr3viz, mlrintermbo, paradox, PartialTL, survivalsurrogate, vetiver, vivid, xplainfi |
Linking:
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