R Observatory: Metrics for mlr version 2.19.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr

2.19.4Package record

Machine Learning in R

17packages dependsuggested by 16

226.7Kdownloads / year

86.6%test coverage

13/13flavors OK

Overview

About

Maintained by Martin BinderCRAN page ↗GitHub ↗Website ↗Issues ↗

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.

Changes in 2.19.4

Remove the broken Pima Indians Diabetes documentation link after the dataset was removed from mlbench 2.1-10, and document its original source.
Update shared task and tuning documentation, internal crossover documentation, and the documentation family index for the stricter R-devel checks.
Avoid a harmless R-devel recycling warning from DiceKriging when fitting regr.km with a fixed scalar nugget, including nugget.stability. This also resolves the downstream mlrMBO Kriging test failure. Other fitting warnings and warnings for varying noise variances remain visible.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("mlr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mlr-org/mlr")

Development version from mlr-org/mlr. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mlr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mlr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 7.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-10-18
WARNING9 OK, 1 NOTE, 3 WARNING2026-07-25
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-07-04
WARNING12 OK, 1 WARNING2026-07-03

Show 2 earlier changesHide 2 earlier changes

OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.19.4

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.19.4Citation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 280 (12 internal)includes a package overview page
Examples that run: 69%51 run in a plain check (7 of them under a condition) · 7 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run · 12 hold no code
Exported functions with examples: 29%
Documented parameters: 98%
Return-value docs: 87%
Help pages citing references: 12%

Vignettes (1)

mlr HTML

How these are measured

Downloads

226.7K

CRAN downloads in the past year

Rank #1,300 · ~621/day · ~18.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

7.7K30 days

22.8K90 days

226.7K1 year

Compare downloads with other packages →

Also on2.3K r2u9 autocran9.9K conda_forge269 c2d4u

How downloads are counted

Repository

mlr-org/mlr ↗Organization: mlr-org

1,686Stars

401Forks

10Open issues

5Open PRs

20Releases

4,831Commits

96Commit identities

machine-learningdata-sciencetuningcranr-packagepredictive-modelingclassificationregression

4,831 commits · Last activity 2025-08-22 · 0% stars, 30d · The default branch showed an older version (2.19.3) than CRAN on 2026-10-18 · Discussions: 4 posts

Responsiveness

How these are sampled

PRs merged (all time): 80%
Median days to close, 50 most recently updated closed issues: 18
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-10-12 · 1,6622026-10-21 · 1,686

How these are measured

PracticesBeta

12 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/mlr-org/mlr on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Contributing guide (inherited from mlr-org)

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (2)

pkgdown

GitHub Pages site last deployed 2022-10-25

pkgdown site last built 2021-02-21, before release 2.19.4 (2026-10-11)

Coverage (1)

Coverage reporting

Show all practicesHide 2 practices

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (3)

lintrEditorConfigRStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

105 external dependencies (excludes base and recommended)

Installing mlr adds 26 packages (15 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)

R >= 3.0.2ParamHelpers

Imports (12)

backports BBmisc checkmate data.table ggplot2methodsparallelMapstatsstringisurvivalutilsXML

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

17direct

1indirect

Depends 5 · Imports 12

Suggested by 16

Show all 33 packagesHide all 33 packages

Depends, Imports or LinkingTo, most downloaded first

mlrMBO tuneRanger varycoef latentFactoR mlrCPO EFAfactors llama live FactorHet seqimpute aslib ipfr OOBCurve RBPcurve RobustPrediction nsga3 roseRF

Suggests, most downloaded first

plotmo iml lime DALEXtra OpenML ecr condvis2 counterfactuals vivid bnclassify ChemoSpec2D binaryRL pmsims r2pmml mlrintermbo multiRL

How these are counted

Code & Tests

Datasets

People & History

People (28)

Martin Binder

Author, Maintainer since 2.19.2 (2024) · added in 2.11

Bernd Bischl

Author

Giuseppe Casalicchio

Author · added in 2.9

Mason Gallo

Author · added in 2.10

Zachary Jones

Author · added in 2.4

Lars Kotthoff

Author · added in 2.2

Michel Lang

Author · added in 2.0

Jakob Richter

Author · added in 2.0

Julia Schiffner

Author · added in 2.9

Patrick Schratz

Author · added in 2.12

Quay Au

Contributor · added in 2.11

Laura Beggel

Contributor · added in 2.11

Jakob Bossek

Contributor · added in 2.1

Steve Bronder

Contributor · added in 2.12

Stefan Coors

Contributor · added in 2.11

Alexander Engelhardt

Contributor · added in 2.13

Florian Fendt

Contributor · added in 2.9

Leonard Judt

Contributor · added in 2.0

Show 10 more contributorsHide 10 contributors

Pascal Kerschke

Contributor · added in 2.9

Tobias Kuehn

Contributor · added in 2.1

Christoph Molnar

Contributor · added in 2.13

Florian Pfisterer

Contributor · added in 2.11

Philipp Probst

Contributor · added in 2.10

Annette Spooner

Contributor · added in 2.17.0

Erich Studerus

Contributor · added in 2.1

Xudong Sun

Contributor · added in 2.10

Janek Thomas

Contributor · added in 2.10

Bruno Vieira

Contributor · added in 2.10

Previously maintained by Patrick Schratz (2.14.0 to 2.19.1) and Bernd Bischl (1.1-18 to 2.13).

Releases (28)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
3.0.2Latest
record
2013-08-29 · current release · diff ↗ ·
added 106 exports
acc, asROCRPrediction, auc, b632, b632plus, ber, configureMlr, f1, fdr, featperc, filterFeatures, fn, fnr, fp, fpr, getBaggingModels, getConfMatrix, getFilteredFeatures, getHyperPars, getLearnerModel, getParamSet, getProbabilities, getTaskData, getTaskFeatureNames, getTaskFormula, getTaskFormulaAsString, getTaskTargets, getTuneResult, gmean, gpr and 76 more
2.19.4
record
2026-10-11 · diff ↗
2.19.3
record
2025-08-22 · diff ↗ ·
added 1 export
instantiateResampleInstance

Show 26 earlier eventsHide 26 earlier events

2.19.2
record
2024-06-12 · diff ↗
2.19.1
record
2022-09-29 · diff ↗
2.19.0
record
2021-02-22 · diff ↗
2.18.0
record
2020-10-05 · diff ↗
2.17.1
record
2020-03-24 · diff ↗ ·
removed 2 exports
arsq, dunn

added 1 export
getFunctionalFeatures
2.17.0
record
2020-01-10 · diff ↗ ·
added 3 exports
extractFDABsignal, extractFDADTWKernel, extractFDATsfeatures
2.16.0
record
2019-11-26 · diff ↗
2.15.0
record
2019-08-06 · diff ↗ ·
added 3 exports
getLearnerNote, listFilterEnsembleMethods, makeFilterEnsemble
2.14.0
record
2019-04-26 · diff ↗ ·
removed 1 export
getFilterValues

added 2 exports
deleteCacheDir, getCacheDir
2.13
record
2018-08-28 · diff ↗ ·
added 2 exports
createSpatialResamplingPlots, getResamplingIndices
2.12.1
record
2018-03-29 · diff ↗
2.12
record
2018-03-11 · diff ↗ ·
removed 8 exports
generateFunctionalANOVAData, measureMultiLabelF1, plotFilterValuesGGVIS, plotLearningCurveGGVIS, plotPartialDependenceGGVIS, plotThreshVsPerfGGVIS, plotTuneMultiCritResultGGVIS, plotViperCharts

added 39 exports
changeData, checkLearner, checkPredictLearnerOutput, cindex.uno, extractFDAFPCA, extractFDAFeatures, extractFDAFourier, extractFDAMultiResFeatures, extractFDAWavelets, fixedcv, getPredictionTaskDesc, getTuneResultOptPath, growingcv, hasFunctionalFeatures, helpLearner, helpLearnerParam, iauc.uno, ibrier, makeBaseWrapper, makeChainModel, makeClassifTaskDesc, makeClassificationViaRegressionWrapper, makeClusterTaskDesc, makeCostSensTaskDesc, makeExtractFDAFeatMethod, makeExtractFDAFeatsWrapper, makeFunctionalData, makeMultilabelTaskDesc, makeRegrTaskDesc, makeSurvTaskDesc and 9 more
2.11
record
2017-03-15 · diff ↗ ·
added 22 exports
batchmark, getBMRTaskDescs, getFailureModelDump, getMeasureProperties, getOOBPreds, getOOBPredsLearner, getPredictionDump, getRRDump, getRRTaskDesc, getTaskDesc, hasMeasureProperties, kendalltau, listLearnerProperties, listMeasureProperties, listTaskTypes, makeDummyFeaturesWrapper, makeTuneControlMBO, measureKendallTau, measureSpearmanRho, reduceBatchmarkResults, simplifyMeasureNames, spearmanrho
2.10
record
2017-02-07 · diff ↗ ·
removed 2 exports
mergeBenchmarkResultLearner, mergeBenchmarkResultTask

added 40 exports
addRRMeasure, calculateConfusionMatrix, calculateROCMeasures, generateFeatureImportanceData, getBMRTaskDescriptions, getFeatureImportance, getFeatureImportanceLearner, getLearnerId, getLearnerPackages, getLearnerParVals, getLearnerParamSet, getLearnerPredictType, getLearnerShortName, getLearnerType, getRRPredictionList, getRRTaskDescription, kappa, lsr, makeLearners, makePrediction, mape, measureKAPPA, measureLSR, measureMAPE, measureMSLE, measureQSR, measureRAE, measureRRSE, measureSSR, measureWKAPPA and 10 more
2.9
record
2016-08-03 · diff ↗ ·
removed 7 exports
generatePartialPredictionData, getParamSet, hamloss, measureHAMLOSS, multiclass.auc, plotPartialPrediction, plotPartialPredictionGGVIS

added 39 exports
brier.scaled, generateFunctionalANOVAData, generateHyperParsEffectData, generatePartialDependenceData, logloss, makeConstantClassWrapper, makeMultilabelClassifierChainsWrapper, makeMultilabelDBRWrapper, makeMultilabelNestedStackingWrapper, makeMultilabelStackingWrapper, makeRLearnerCostSens, makeRemoveConstantFeaturesWrapper, measureAU1P, measureAU1U, measureAUNP, measureAUNU, measureBrierScaled, measureLogloss, measureMultiLabelF1, measureMulticlassBrier, measureMultilabelACC, measureMultilabelHamloss, measureMultilabelPPV, measureMultilabelSubset01, measureMultilabelTPR, multiclass.au1p, multiclass.au1u, multiclass.aunp, multiclass.aunu, multiclass.brier and 9 more
2.8
record
2016-02-13 · diff ↗ ·
removed 3 exports
generateROCRCurvesData, plotROCRCurves, plotROCRCurvesGGVIS

added 12 exports
arsq, cv10, cv2, cv3, cv5, expvar, getBMRLearnerShortNames, getBMRModels, hout, measureEXPVAR, measureRSQ, rsq
2.7
record
2015-12-04 · diff ↗ ·
removed 5 exports
generateBenchmarkSummaryData, generateRankMatrixAsBarData, plotBenchmarkResult, plotBenchmarkSummary, plotRankMatrixAsBar

added 3 exports
plotBMRBoxplots, plotBMRRanksAsBarChart, plotBMRSummary
2.6
record
2015-11-26 · diff ↗
2.5
record
2015-11-20 · diff ↗ ·
removed 6 exports
addProperties, getTaskFormulaAsString, removeProperties, setProperties, test.sqrt.of.mean, train.sqrt.of.mean

added 41 exports
convertBMRToRankMatrix, convertMLBenchObjToTask, estimateRelativeOverfitting, friedmanPostHocTestBMR, friedmanTestBMR, generateBenchmarkSummaryData, generateCalibrationData, generateCritDifferencesData, generatePartialPredictionData, generateRankMatrixAsBarData, getBMRLearners, getBMRMeasureIds, getBMRMeasures, getCaretParamSet, getClassWeightParam, getDefaultMeasure, getLearnerProperties, getMultilabelBinaryPerformances, getPredictionProbabilities, getPredictionResponse, getPredictionSE, getPredictionTruth, getTaskClassLevels, hamloss, hasLearnerProperties, makeMultilabelBinaryRelevanceWrapper, makeMultilabelTask, makeRLearnerMultilabel, measureHAMLOSS, mergeBenchmarkResultLearner and 11 more
2.4
record
2015-06-13 · diff ↗ ·
removed 1 export
showHyperPars

added 17 exports
brier, generateFilterValuesData, generateLearningCurveData, generateROCRCurvesData, generateThreshVsPerfData, getNestedTuneResultsOptPathDf, getNestedTuneResultsX, getRRPredictions, getTaskSize, makeTuneControlDesign, measureBrier, plotFilterValuesGGVIS, plotLearningCurve, plotLearningCurveGGVIS, plotROCRCurvesGGVIS, plotThreshVsPerfGGVIS, plotTuneMultiCritResultGGVIS
2.3
record
2015-02-04 · diff ↗ ·
removed 4 exports
getBaggingModels, getCostSensClassifModel, getCostSensRegrModels, getCostSensWeightedPairsModels

added 35 exports
getHomogeneousEnsembleModels, getTaskDescription, getTaskId, getTaskTargetNames, getTaskType, makePreprocWrapperCaret, measureACC, measureAUC, measureBAC, measureFDR, measureFN, measureFNR, measureFP, measureFPR, measureGMEAN, measureGPR, measureMAE, measureMCC, measureMEDAE, measureMEDSE, measureMMCE, measureMSE, measureNPV, measurePPV, measureRMSE, measureSAE, measureSSE, measureTN, measureTNR, measureTP and 5 more
2.2
record
2014-10-29 · diff ↗ ·
removed 4 exports
getAggrPerformances, getFilterResult, getPerformances, getPredictions

added 17 exports
capLargeValues, getBMRAggrPerformances, getBMRFeatSelResults, getBMRFilteredFeatures, getBMRLearnerIds, getBMRPerformances, getBMRPredictions, getBMRTaskIds, getBMRTuneResults, getStackedBaseLearnerPredictions, joinClassLevels, makeFilter, makeMulticlassWrapper, makeStackedLearner, mergeSmallFactorLevels, summarizeColumns, summarizeLevels
2.1
record
2014-07-21 · diff ↗ ·
added 15 exports
G1, G2, bac, db, dunn, getFailureModelMsg, makeClusterTask, makeRLearnerCluster, makeTuneMultiCritControlGrid, makeTuneMultiCritControlNSGA2, makeTuneMultiCritControlRandom, plotTuneMultiCritResult, removeHyperPars, silhouette, tuneParamsMultiCrit
2.0
record
2014-07-04 · diff ↗ ·
removed 3 exports
listLearnersForTask, makeTuneControlOptim, measures

added 80 exports
addProperties, analyzeFeatSelResult, benchmark, bootstrapB632, bootstrapB632plus, bootstrapOOB, cindex, createDummyFeatures, crossval, downsample, dropFeatures, estimateResidualVariance, getAggrPerformances, getCostSensClassifModel, getCostSensRegrModels, getCostSensWeightedPairsModels, getFeatSelResult, getFilterResult, getFilterValues, getMlrOptions, getPerformances, getPredictions, getTaskCosts, getTaskNFeats, hasProperties, holdout, impute, imputeConstant, imputeHist, imputeLearner and 50 more
1.1-18
record
2013-08-30
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-08-29
Total releases: 28 / 13 yrs
License: BSD_2_clause + file LICENSE OSI
Minimum R: ≥ 3.0.2
Bundled data: 1.4 MB / 16 files
Download size: 2.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlr")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr version 2.19.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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