R Observatory: Metrics for mlr3tuning version 1.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

mlr3tuning

1.6.1

Hyperparameter Optimization for 'mlr3'

19packages depend

214.7Kdownloads / year

59.9%test coverage

13/13checks pass

Overview

About

Maintained by Marc BeckerFirst published 2019-09-3040 releasesCRAN page ↗GitHub ↗

Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.

Install

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

install.packages("mlr3tuning", 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/mlr3tuning")

Development version from mlr-org/mlr3tuning. 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-mlr3tuning

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-mlr3tuning

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-mlr3tuning

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 18.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 1.14

59.9%

Coverage · measured lines

100%

Documentation · exports

9

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-02
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-25
10 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
OK2026-06-08
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-07
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 605 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 18%
References docs: 0%

Downloads

214.7K

CRAN downloads in the past year

Rank #858 · ~588/day · ~17.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

17.4K30 days

55.4K90 days

214.7K1 year

Compare downloads with other packages →

Also on25.8K r2u14 autocran6.8K conda_forge44 c2d4u

Repository

GitHub ↗ mlr-org/mlr3tuning

59Stars

8Forks

3Open issues

3Open PRs

39Releases

1,063Commits

17Contributors

mlr3machine-learningtuningrtuneoptimizationhyperparameter-tuningbbotk

License LGPL-3.0 · 1,063 commits · Last activity 2026-08-10 · 0% stars, 30d

Stars over time

2025-07-28 · 572026-07-07 · 59

Repository practices

Upstream repositoryBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mlr-org/mlr3tuning on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Automation and maintenance (1)

Dependabot

Lint, format, editor (5)

lintrAirEditorConfigVS CodeRStudio project

Show all practices

Git structural (1)

blame-ignore revs

How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-02-18

claudecursorgemini

Most recent: gemini on 2026-03-18

Evidence

claude: on 2026-02-18 · evidence B, D
cursor: on 2026-03-13 · evidence D
agents-md: on 2026-03-17 · evidence D
gemini: on 2026-03-18 · evidence D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

25 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.3.0mlr3 paradox

Imports (7)

bbotk checkmate cli data.table lgr mlr3misc R6

LinkingTo (0)

none

Suggests (17)

adagio future GenSA irace knitr mirai mlflow mlr3learners mlr3pipelines nloptr processx redux rush rmarkdownrparttestthat xgboost

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

19direct

24indirect

MantaID mlr3hyperband mlr3mbo mlr3tuningspaces DoubleML FoRecoML VIM mlr3verse mlrintermbo sense xtdml interflex miesmuschel mlr3forecast mlr3resampling mlr3spatiotempcv mlr3summary mlr3torch mlr3viz

Code & Tests

People & History

People (5)

Maintainer (1)

Marc Becker

Maintainer, Author · added in 0.2.0

Authors (5)

Marc Becker

Maintainer, Author · added in 0.2.0

Author

Author

Author

Author

Package Timeline

40 releases. Pick two to compare their code metrics. R releases are shown for context.

1.6.1Latest
2026-07-26 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.6.0
2026-03-16 · diff ↗
1.5.1
2025-12-14 · diff ↗
1.5.0
2025-11-07 · diff ↗
1.4.0
2025-06-04 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.3.0
2024-12-17 · diff ↗
1.2.1
2024-11-26 · diff ↗
1.2.0
2024-11-08 · diff ↗
1.1.0
2024-10-27 · diff ↗
1.0.2
2024-10-14 · diff ↗
1.0.1
2024-09-10 · diff ↗
1.0.0
2024-06-29 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.20.0
2024-03-05 · diff ↗

Show 32 earlier events

0.19.2
2023-11-28 · diff ↗
0.19.1
2023-11-20 · diff ↗
0.19.0
2023-06-26 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.18.0
2023-03-08 · diff ↗
0.17.2
2022-12-22 · diff ↗
0.17.1
2022-12-07 · diff ↗
0.17.0
2022-11-19 · diff ↗
0.16.0
2022-11-08 · diff ↗
0.15.0
2022-10-21 · diff ↗
0.14.0
2022-08-25 · diff ↗
0.13.1
2022-05-03 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.13.0
2022-04-06 · diff ↗
0.12.1
2022-02-25 · diff ↗
0.12.0
2022-02-17 · diff ↗
0.11.0
2022-02-02 · diff ↗
0.10.0
2022-01-20 · diff ↗
0.9.0
2021-09-14 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.8.0
2021-03-12 · diff ↗
0.7.0
2021-02-11 · diff ↗
0.6.0
2021-01-24 · diff ↗
0.5.0
2020-12-07 · diff ↗
0.4.0
2020-10-07 · diff ↗
0.3.0
2020-09-08 · diff ↗
0.2.0
2020-07-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.2
2020-01-31 · diff ↗
0.1.1
2019-12-06 · diff ↗
0.1.0
2019-09-30
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-09-30
Total releases: 40 / 7 yrs
License: LGPL-3 OSI
Minimum R: ≥ 3.3.0
Download size: 243 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlr3tuning")

Format

Becker, M., Bischl, B., Lang, M., Richter, J., & Schalk, D. (2026). mlr3tuning: Hyperparameter Optimization for 'mlr3' (Version 1.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlr3tuning

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 mlr3tuning version 1.6.1 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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