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mlr3mbo

1.2.1Package record

Flexible Bayesian Optimization

6packages depend
66.1Kdownloads / year
68.1%test coverage
13/13flavors OK

Overview

About

A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) doi:10.1023/A:1008306431147, ParEGO by Knowles (2006) doi:10.1109/TEVC.2005.851274 and SMS-EGO by Ponweiser et al. (2008) doi:10.1007/978-3-540-87700-4_78.

Changes in 1.2.1
  • compatibility: mlr3 1.7.2

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 15.8 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-02
  • ERROR10 OK, 3 ERROR2026-07-25
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK13 OK2026-06-08
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.1
READMEYes · 337 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.1Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
67includes a package overview page
Examples that run
78%40 run in a plain check (22 of them under a condition) · 11 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
80%
Documented parameters
100%
Return-value docs
31%
Help pages citing references
24%

Downloads

66.1K
CRAN downloads in the past year
Rank #1,637 · ~181/day · ~5.5K/mo
Daily download trend is not available in this view yet.
4.3K30 days
13.7K90 days
66.1K1 year
Compare downloads with other packages →
Also on3.4K r2u5 autocran4.7K conda_forge

Repository

27Stars
1Forks
20Open issues
3Open PRs
20Releases
607Commits
12Commit identities
machine-learningroptimizationbayesian-optimizationmodel-based-optimizationbbotkmlr3r-package
607 commits · Last activity 2026-10-06 · 0% stars, 30d · Default branch at 1.2.1.9000, ahead of CRAN 1.2.1 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
91%
Median days to close, 50 most recently updated closed issues
50
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-07-28 · 262026-08-23 · 27
PracticesBeta

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

Checks run against github.com/mlr-org/mlr3mbo on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, 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 (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-06 · The repository has a site deploy workflow

pkgdown site last built 2026-07-26

Automation and maintenance (1)
Dependabot
Show all practicesHide 2 practices
Lint, format, editor (5)
lintrAirEditorConfigVS CodeRStudio project
Git structural (1)
blame-ignore revs
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • GitHub Copilotfirst seen 2025-07-05
    Pull request: opened by its own account
  • Claude Codefirst seen 2026-03-03
    Seen in the repository: .claude, CLAUDE.md
    Named in .Rbuildignore: .claude, CLAUDE.md
    Named in .gitignore: .claude, CLAUDE.md
    Pull request it wrote: opened by a project member
    Commits: at least 68 crediting it in the message
  • Cursorfirst seen 2026-03-04
    Named in .Rbuildignore: .cursor
  • Gemini CLIfirst seen 2026-03-13
    Config: a file or ignore line, not recorded which
  • Codexfirst seen 2026-09-18
    Seen in the repository: .codex
    Named in .Rbuildignore: .codex
    Commits: at least 1 crediting it in the message
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
Models named in its commits
  • Claude Opus 4.832 commits · Jul 2026
  • Claude Fable 529 commits · Jun to Jul 2026
  • Claude Opus 4.64 commits · Mar 2026
  • Claude Opus 4.71 commit · Apr 2026
  • Claude Opus 51 commit · Aug 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
26 external dependencies (excludes base and recommended)

Installing mlr3mbo adds 32 packages (17 with compiled code, 25 MB of source tarballs). Heaviest: data.table 5.7 MB, spacefillr 3.1 MB, palmerpenguins 2.9 MB.

Depends (3)
R >= 3.1.0mlr3mlr3tuning
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
6direct
1indirect
Imports 6
Depends, Imports or LinkingTo, most downloaded first

People & History

People (13)
Maintainer since 0.3.1 (2025), Author
Copyright holder
Copyright holder
Copyright holder
Copyright holder
Copyright holder

Previously maintained by Lennart Schneider (0.1.1 to 0.3.0).

Releases (20)

Pick two releases to compare their code metrics.

  • 1.2.1Latest
    record
    2026-07-26 · current release · diff ↗
  • 1.2.0
    record
    2026-07-21 · diff ↗
  • 1.1.1
    record
    2026-04-24 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    record
    2026-03-18 · diff ↗
  • 1.0.0
    record
    2026-02-27 · diff ↗ ·
    added 8 exports
    AcqOptimizerDirect, AcqOptimizerLbfgsb, AcqOptimizerLocalSearch, AcqOptimizerRandomSearch, error_acq_optimizer, error_random_interleave, error_surrogate_update, mlr_acqoptimizers
  • 0.3.3
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    2025-10-10 · diff ↗
  • 0.3.2
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    2025-10-02 · diff ↗
  • 0.3.1
    record
    2025-08-19 · diff ↗
  • 0.3.0
    record
    2025-06-03 · diff ↗ ·
    added 10 exports
    AcqFunctionEILog, InputTrafo, InputTrafoUnitcube, OutputTrafo, OutputTrafoLog, OutputTrafoStandardize, it, mlr_input_trafos, mlr_output_trafos, ot
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.9
    record
    2025-03-04 · diff ↗
  • 0.2.8
    record
    2024-11-21 · diff ↗ ·
    added 1 export
    redis_available
  • 0.2.7
    record
    2024-11-15 · diff ↗ ·
    added 6 exports
    AcqFunctionStochasticCB, AcqFunctionStochasticEI, OptimizerADBO, OptimizerAsyncMbo, TunerADBO, TunerAsyncMbo
  • 0.2.6
    record
    2024-10-16 · diff ↗
  • 0.2.5
    record
    2024-09-25 · diff ↗ ·
    added 2 exports
    AcqFunctionMulti, acqfs
Show 9 earlier eventsHide 9 earlier events
  • 0.2.4
    record
    2024-07-06 · diff ↗
  • 0.2.3
    record
    2024-07-01 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.2
    record
    2024-03-01 · diff ↗ ·
    added 2 exports
    default_gp, default_rf
  • 0.2.1
    record
    2023-06-05 · diff ↗ ·
    removed 6 exports
    default_acqfun, default_acqopt, default_loopfun, result_by_default, result_by_surrogate_design, srlrnc
    added 13 exports
    AcqFunctionEHVI, AcqFunctionEHVIGH, AcqFunctionSD, ResultAssigner, ResultAssignerArchive, ResultAssignerSurrogate, bayesopt_emo, default_acqfunction, default_acqoptimizer, default_loop_function, default_result_assigner, mlr_result_assigners, ras
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    record
    2023-03-03 · diff ↗ ·
    added 1 export
    AcqFunctionAEI
  • 0.1.1
    record
    2022-11-18
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-11-18
Total releases
20 / 4 yrs
License
LGPL-3 OSI
Minimum R
≥ 3.1.0
Download size
167 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("mlr3mbo")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.patter.2026.101614.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr3mbo version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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