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mlrintermbo

0.5.1-1Package record

Model-Based Optimization for 'mlr3' Through 'mlrMBO'

0packages depend
6.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The 'mlrMBO' package can ordinarily not be used for optimization within 'mlr3', because of incompatibilities of their respective class systems. 'mlrintermbo' offers a compatibility interface that provides 'mlrMBO' as an 'mlr3tuning' 'Tuner' object, for tuning of machine learning algorithms within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization of general objective functions using the 'bbotk' black box optimization framework. The control parameters of 'mlrMBO' are faithfully reproduced as a 'paradox' 'ParamSet'.

Changes in 0.5.1-1
  • compatibility with upcoming bbotk release

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 15.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-04
  • ERROR13 OK, 1 ERROR2026-04-03
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.5.1-1
READMEYes · 276 wordsVignettesNoNEWSYes · 100% structured · mentions 0.5.1-1Citation fileNo
Help pages
9 (1 internal)includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
25%
Documented parameters
100%
Return-value docs
0%
Help pages citing references
0%

Downloads

6.4K
CRAN downloads in the past year
Rank #9,909 · ~18/day · ~536/mo
Daily download trend is not available in this view yet.
35930 days
1K90 days
6.4K1 year
Compare downloads with other packages →
Also on68 r2u4 autocran

Repository

4Stars
1Forks
12Open issues
2Open PRs
0Releases
148Commits
1Commit identities
License file reads as LGPL-3.0 · 148 commits · Last activity 2024-10-24 · Default branch at 0.5.1-2, ahead of CRAN 0.5.1-1 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
83%
Median days to close, 50 most recently updated closed issues
171
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2022-01-24 · 42026-07-07 · 4
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/mb706/mlrintermbo 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

Docs source (1)

GitHub Pages site last deployed 2021-11-17

Coverage (1)
Coverage reporting
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
26 external dependencies (excludes base and recommended)

Installing mlrintermbo adds 36 packages (19 with compiled code, 23 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, moocore 1.9 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.5.0 (2021)
Releases (3)

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
  • 0.5.1-1Latest
    record
    2024-06-08 · current release · diff ↗ ·
    added 5 exports
    OptimInstanceMultiCrit, OptimInstanceSingleCrit, Optimizer, TuningInstanceMultiCrit, TuningInstanceSingleCrit
  • 0.5.1
    record
    2024-05-27 · diff ↗
  • 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
  • 0.5.0
    record
    2021-03-01
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-03-01
Total releases
3 / 5 yrs
License
LGPL-3 OSI
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlrintermbo")
Binder, M. (2024). mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1) [Computer software]. https://doi.org/10.32614/CRAN.package.mlrintermbo

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 mlrintermbo version 0.5.1-1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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