mlr3: Machine Learning in R - Next Generation (original) (raw)
Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
| Version: | 1.2.0 |
|---|---|
| Depends: | R (≥ 3.3.0) |
| Imports: | R6 (≥ 2.4.1), backports (≥ 1.5.0), checkmate (≥ 2.0.0), cli, data.table (≥ 1.15.0), evaluate (≥ 1.0.4), future, future.apply (≥ 1.5.0), lgr (≥ 0.3.4), mirai (≥ 2.4.1), methods, mlbench, mlr3measures (≥ 1.0.0), mlr3misc (≥ 0.19.0), parallelly, palmerpenguins, paradox (≥ 1.0.1), uuid |
| Suggests: | callr, codetools, datasets, future.callr, mlr3data, progressr, remotes, RhpcBLASctl, rpart, testthat (≥ 3.2.0) |
| Published: | 2025-09-13 |
| DOI: | 10.32614/CRAN.package.mlr3 |
| Author: | Michel Lang  [aut], Bernd Bischl [aut], Jakob Richter [aut], Patrick Schratz [aut], Giuseppe Casalicchio [ctb], Stefan Coors [ctb], Quay Au [ctb], Martin Binder [aut], Florian Pfisterer [aut], Raphael Sonabend [aut], Lennart Schneider [ctb], Marc Becker [cre, aut], Sebastian Fischer [aut], Lona Koers [ctb], John Zobolas [ctb], Maximilian Mücke [ctb] |
| Maintainer: | Marc Becker |
| BugReports: | https://github.com/mlr-org/mlr3/issues |
| License: | LGPL-3 |
| URL: | https://mlr3.mlr-org.com, https://github.com/mlr-org/mlr3 |
| NeedsCompilation: | no |
| Citation: | mlr3 citation info |
| Materials: | README, NEWS |
| In views: | MachineLearning, Spatial |
| CRAN checks: | mlr3 results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | GenericML, MantaID, mlr3cluster, mlr3db, mlr3fda, mlr3fselect, mlr3inferr, mlr3learners, mlr3spatial, mlr3spatiotempcv, mlr3torch, mlr3tuning, mlr3verse, SIAMCAT, spFSR |
|---|---|
| Reverse imports: | BioM2, cpi, DoubleML, gKRLS, HetSeq, highMLR, mcboost, mlr3batchmark, mlr3fairness, mlr3filters, mlr3hyperband, mlr3mbo, mlr3oml, mlr3pipelines, mlr3resampling, mlr3shiny, mlr3summary, mlr3superlearner, mlr3tuningspaces, sense, survivalsurrogate, xtdml |
| Reverse suggests: | condvis2, counterfactuals, DALEXtra, drape, explainer, FACT, iml, leakr, miesmuschel, mlr3benchmark, mlr3data, mlr3viz, mlrintermbo, parttree, vetiver, vivid |
| Reverse enhances: | vip |
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