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mlr3  

Machine Learning in R - Next Generation
View on CRAN: Click here


Download and install mlr3 package within the R console
Install from CRAN:
install.packages("mlr3")

Install from Github:
library("remotes")
install_github("cran/mlr3")

Install by package version:
library("remotes")
install_version("mlr3", "1.3.0")



Attach the package and use:
library("mlr3")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-25
Latest Update: 2025-07-30
Description:
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.
How to cite:
Marc Becker (2019). mlr3: Machine Learning in R - Next Generation. R package version 1.3.0, https://cran.r-project.org/web/packages/mlr3. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1.1 (2019-07-25 16:10), 0.1.2 (2019-08-26 00:50), 0.1.3 (2019-09-18 06:50), 0.1.4 (2019-10-29 00:40), 0.1.5 (2019-12-10 23:10), 0.1.6 (2019-12-19 09:50), 0.1.7 (2020-02-23 23:40), 0.1.8 (2020-03-10 00:00), 0.2.0 (2020-04-17 15:40), 0.3.0 (2020-06-02 14:00), 0.4.0 (2020-07-22 13:20), 0.5.0 (2020-08-07 07:20), 0.6.0 (2020-09-13 15:30), 0.7.0 (2020-10-07 14:00), 0.8.0 (2020-10-21 11:10), 0.9.0 (2020-12-06 20:50), 0.10.0 (2021-01-21 09:50), 0.11.0 (2021-03-05 15:00), 0.12.0 (2021-08-05 19:00), 0.13.0 (2021-11-16 14:10), 0.13.1 (2022-01-19 16:42), 0.13.2 (2022-02-14 13:40), 0.13.3 (2022-03-01 16:40), 0.13.4 (2022-07-21 15:30), 0.14.0 (2022-08-11 11:40), 0.14.1 (2022-11-02 14:17), 0.15.0 (2023-03-17 15:20), 0.16.0 (2023-05-05 19:40), 0.16.1 (2023-06-18 00:50), 0.17.0 (2023-11-17 11:20), 0.17.1 (2023-12-21 16:10), 0.17.2 (2024-01-09 10:00), 0.18.0 (2024-03-05 14:10), 0.19.0 (2024-04-24 18:00), 0.20.0 (2024-06-28 10:30), 0.20.1 (2024-07-22 15:10), 0.20.2 (2024-07-29 14:00), 0.21.0 (2024-09-24 09:00), 0.21.1 (2024-10-18 12:40), 0.22.0 (2024-11-24 14:30), 0.22.1 (2024-11-27 14:40), 0.23.0 (2025-03-12 13:30), 1.0.0 (2025-06-18 10:40), 1.0.1 (2025-07-03 14:40), 1.1.0 (2025-07-30 22:50), 1.2.0 (2025-09-14 01:30), 1.3.0 (2025-12-03 18:30), 1.4.0 (2026-02-19 15:50)
Other packages that cited mlr3 R package
View mlr3 citation profile
Other R packages that mlr3 depends, imports, suggests or enhances
Complete documentation for mlr3
Functions, R codes and Examples using the mlr3 R package
Some associated functions: BenchmarkResult . DataBackend . DataBackendDataTable . DataBackendMatrix . HotstartStack . Learner . LearnerClassif . LearnerRegr . Measure . MeasureClassif . MeasureRegr . MeasureSimilarity . Prediction . PredictionClassif . PredictionData . PredictionRegr . ResampleResult . Resampling . ResultData . Task . TaskClassif . TaskGenerator . TaskRegr . TaskSupervised . TaskUnsupervised . as_benchmark_result . as_data_backend . as_learner . as_measure . as_prediction . as_prediction_classif . as_prediction_data . as_prediction_regr . as_resample_result . as_resampling . as_result_data . as_task . as_task_classif . as_task_regr . as_task_unsupervised . auto_convert . benchmark . benchmark_grid . col_info . convert_task . default_measures . install_pkgs . mlr3-package . mlr_assertions . mlr_learners . mlr_learners_classif.debug . mlr_learners_classif.featureless . mlr_learners_classif.rpart . mlr_learners_regr.debug . mlr_learners_regr.featureless . mlr_learners_regr.rpart . mlr_measures . mlr_measures_aic . mlr_measures_bic . mlr_measures_classif.acc . mlr_measures_classif.auc . mlr_measures_classif.bacc . mlr_measures_classif.bbrier . mlr_measures_classif.ce . mlr_measures_classif.costs . mlr_measures_classif.dor . mlr_measures_classif.fbeta . mlr_measures_classif.fdr . mlr_measures_classif.fn . mlr_measures_classif.fnr . mlr_measures_classif.fomr . mlr_measures_classif.fp . mlr_measures_classif.fpr . mlr_measures_classif.logloss . mlr_measures_classif.mauc_au1p . mlr_measures_classif.mauc_au1u . mlr_measures_classif.mauc_aunp . mlr_measures_classif.mauc_aunu . mlr_measures_classif.mbrier . mlr_measures_classif.mcc . mlr_measures_classif.npv . mlr_measures_classif.ppv . mlr_measures_classif.prauc . mlr_measures_classif.precision . mlr_measures_classif.recall . mlr_measures_classif.sensitivity . mlr_measures_classif.specificity . mlr_measures_classif.tn . mlr_measures_classif.tnr . mlr_measures_classif.tp . mlr_measures_classif.tpr . mlr_measures_debug_classif . mlr_measures_elapsed_time . mlr_measures_oob_error . mlr_measures_regr.bias . mlr_measures_regr.ktau . mlr_measures_regr.mae . mlr_measures_regr.mape . mlr_measures_regr.maxae . mlr_measures_regr.medae . mlr_measures_regr.medse . mlr_measures_regr.mse . mlr_measures_regr.msle . mlr_measures_regr.pbias . mlr_measures_regr.rae . mlr_measures_regr.rmse . mlr_measures_regr.rmsle . mlr_measures_regr.rrse . mlr_measures_regr.rse . mlr_measures_regr.rsq . mlr_measures_regr.sae . mlr_measures_regr.smape . mlr_measures_regr.srho . mlr_measures_regr.sse . mlr_measures_selected_features . mlr_measures_sim.jaccard . mlr_measures_sim.phi . mlr_reflections . mlr_resamplings . mlr_resamplings_bootstrap . mlr_resamplings_custom . mlr_resamplings_custom_cv . mlr_resamplings_cv . mlr_resamplings_holdout . mlr_resamplings_insample . mlr_resamplings_loo . mlr_resamplings_repeated_cv . mlr_resamplings_subsampling . mlr_sugar . mlr_task_generators . mlr_task_generators_2dnormals . mlr_task_generators_cassini . mlr_task_generators_circle . mlr_task_generators_friedman1 . mlr_task_generators_moons . mlr_task_generators_simplex . mlr_task_generators_smiley . mlr_task_generators_spirals . mlr_task_generators_xor . mlr_tasks . mlr_tasks_boston_housing . mlr_tasks_breast_cancer . mlr_tasks_german_credit . mlr_tasks_iris . mlr_tasks_mtcars . mlr_tasks_penguins . mlr_tasks_pima . mlr_tasks_sonar . mlr_tasks_spam . mlr_tasks_wine . mlr_tasks_zoo . mlr_test_helpers . partition . predict.Learner . reexports . resample . set_threads . 
Some associated R codes: BenchmarkResult.R . DataBackend.R . DataBackendCbind.R . DataBackendDataTable.R . DataBackendMatrix.R . DataBackendRbind.R . DataBackendRename.R . HotstartStack.R . Learner.R . LearnerClassif.R . LearnerClassifDebug.R . LearnerClassifFeatureless.R . LearnerClassifRpart.R . LearnerRegr.R . LearnerRegrDebug.R . LearnerRegrFeatureless.R . LearnerRegrRpart.R . Measure.R . MeasureAIC.R . MeasureBIC.R . MeasureClassif.R . MeasureClassifCosts.R . MeasureDebug.R . MeasureElapsedTime.R . MeasureOOBError.R . MeasureRegr.R . MeasureSelectedFeatures.R . MeasureSimilarity.R . MeasureSimple.R . Prediction.R . PredictionClassif.R . PredictionData.R . PredictionDataClassif.R . PredictionDataRegr.R . PredictionRegr.R . ResampleResult.R . Resampling.R . ResamplingBootstrap.R . ResamplingCV.R . ResamplingCustom.R . ResamplingCustomCV.R . ResamplingHoldout.R . ResamplingInsample.R . ResamplingLOO.R . ResamplingRepeatedCV.R . ResamplingSubsampling.R . ResultData.R . Task.R . TaskClassif.R . TaskClassif_breast_cancer.R . TaskClassif_german_credit.R . TaskClassif_iris.R . TaskClassif_penguins.R . TaskClassif_pima.R . TaskClassif_sonar.R . TaskClassif_spam.R . TaskClassif_wine.R . TaskClassif_zoo.R . TaskGenerator.R . TaskGenerator2DNormals.R . TaskGeneratorCassini.R . TaskGeneratorCircle.R . TaskGeneratorFriedman1.R . TaskGeneratorMoons.R . TaskGeneratorSimplex.R . TaskGeneratorSmiley.R . TaskGeneratorSpirals.R . TaskGeneratorXor.R . TaskRegr.R . TaskRegr_boston_housing.R . TaskRegr_mtcars.R . TaskSupervised.R . TaskUnsupervised.R . as_benchmark_result.R . as_data_backend.R . as_learner.R . as_measure.R . as_prediction.R . as_prediction_classif.R . as_prediction_data.R . as_prediction_regr.R . as_resample_result.R . as_resampling.R . as_result_data.R . as_task.R . as_task_classif.R . as_task_regr.R . as_task_unsupervised.R . assertions.R . auto_convert.R . benchmark.R . benchmark_grid.R . bibentries.R . default_measures.R . fix_factor_levels.R . helper.R . helper_data_table.R . helper_exec.R . helper_hashes.R . helper_print.R . install_pkgs.R . mlr_learners.R . mlr_measures.R . mlr_reflections.R . mlr_resamplings.R . mlr_sugar.R . mlr_task_generators.R . mlr_tasks.R . mlr_test_helpers.R . partition.R . predict.R . reexports.R . resample.R . set_threads.R . task_converters.R . worker.R . zzz.R .  Full mlr3 package functions and examples
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