mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration - Published in JOSS (2025)

https://github.com/mlr-org/mlr3extralearners

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

○
CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
Found 1 DOI reference(s) in JOSS metadata
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Academic publication links
✓
Committers with academic emails
1 of 37 committers (2.7%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

machine-learning mlr3 r r-package

Keywords from Contributors

stacking learners hyperparameter-tuning hyperparameter-optimization preprocessing bagging dataflow-programming ensemble-learning pipelines tune

Last synced: 3 months ago · JSON representation

Repository

Extra learners for use in mlr3.

Basic Info

Host: GitHub
Owner: mlr-org
License: lgpl-3.0
Language: R
Default Branch: main
Homepage: https://mlr3extralearners.mlr-org.com/
Size: 186 MB

Statistics

Stars: 106
Watchers: 4
Forks: 56
Open Issues: 24
Releases: 60

Topics

machine-learning mlr3 r r-package

Created over 5 years ago · Last pushed 3 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct

README.Rmd

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  cache = FALSE,
  collapse = TRUE,
  comment = "#>",
  echo = TRUE
)
library(mlr3extralearners)
library(magrittr)
```

# mlr3extralearners

Package website: [release](https://mlr3extralearners.mlr-org.com/) \|
[dev](https://mlr3extralearners.mlr-org.com/dev/)

Extra Learners for **[mlr3](https://github.com/mlr-org/mlr3/)**.


[![RCMD Check](https://github.com/mlr-org/mlr3extralearners/actions/workflows/rcmdcheck.yml/badge.svg)](https://github.com/mlr-org/mlr3extralearners/actions/workflows/rcmdcheck.yml)
[![StackOverflow](https://img.shields.io/badge/stackoverflow-mlr3-orange.svg)](https://stackoverflow.com/questions/tagged/mlr3)
[![Mattermost](https://img.shields.io/badge/chat-mattermost-orange.svg)](https://lmmisld-lmu-stats-slds.srv.mwn.de/mlr_invite/)


## What is mlr3extralearners?

`mlr3extralearners` contains all learners from mlr3 that are not in `mlr3learners` or the core packages.
An overview of all learners within the `mlr3verse` can be found [here](https://mlr-org.com/learners.html).

`mlr3extralearners` lives on GitHub and will not be on CRAN.

You can install the package as follows:

```{r, eval = FALSE}
# latest GitHub release
pak::pak("mlr-org/mlr3extralearners@*release")

# development version
pak::pak("mlr-org/mlr3extralearners")
```

Alternatively, you can add the following to your .Rprofile, which allows you to install `mlr3extralearners` via `install.packages()`.

```{r, eval = FALSE}
# .Rprofile
options(repos = c(
  mlrorg = "https://mlr-org.r-universe.dev",
  CRAN = "https://cloud.r-project.org/"
))
```

## Quick Start

The package includes functionality for detecting if you have the required packages installed
to use a learner, and ships with the function `install_learner` which can install all required
learner dependencies.

```{r, echo=TRUE, eval = FALSE}
library(mlr3extralearners)
lrn("regr.gbm")
#> Warning: Package 'gbm' required but not installed for Learner 'regr.gbm'
#> : Gradient Boosting
#> * Model: -
#> * Parameters: keep.data=FALSE, n.cores=1
#> * Packages: mlr3, mlr3extralearners, gbm
#> * Predict Types:  [response]
#> * Feature Types: integer, numeric, factor, ordered
#> * Properties: importance, missings, weights

install_learners("regr.gbm")

learner <-lrn("regr.gbm")
learner
#> : Gradient Boosting
#> * Model: -
#> * Parameters: keep.data=FALSE, n.cores=1
#> * Packages: mlr3, mlr3extralearners, gbm
#> * Predict Types:  [response]
#> * Feature Types: integer, numeric, factor, ordered
#> * Properties: importance, missings, weights
```

```{r, echo = FALSE}
learner <- lrn("regr.gbm")
```

You can now use the learner to fit a model and make predictions.

```{r}
task <- tsk("california_housing")
task
split <- partition(task)
learner$train(task, split$train)
learner$predict(task, split$test)
```

You can learn more about using learners by [reading our book](https://mlr3book.mlr-org.com/chapters/chapter1/introduction_and_overview.html#mlr3-by-example).

## Extending mlr3extralearners

An in-depth tutorial on how to add learners can be found in the [package website](https://mlr3extralearners.mlr-org.com/articles/extending.html).

## Acknowledgements

This R package is developed as part of the [Mathematical Research Data Initiative](https://www.mardi4nfdi.de/about/mission).

Owner

Name: mlr-org
Login: mlr-org
Kind: organization
Location: Munich, Germany

Website: https://mlr-org.com
Repositories: 81
Profile: https://github.com/mlr-org

JOSS Publication

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration

Published

November 17, 2025

DOI

10.21105/joss.08331

Volume 10, Issue 115, Page 8331

Authors

Sebastian Fischer

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

John Zobolas

Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Norway

Raphael Sonabend

OSPO Now

Marc Becker

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

Michel Lang

TU Dortmund University, Germany

Martin Binder
Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

Lennart Schneider

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

Lukas Burk

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany, Leibniz Institute for Prevention Research and Epidemiology (BIPS), Bremen, Germany, Faculty of Mathematics and Computer Science, University of Bremen, Germany

Patrick Schratz

devXY GmbH

Byron C. Jaeger

Wake Forest University School of Medicine, Department of Biostatistics and Data Science, Division of Public Health Sciences Winston-Salem, North Carolina

Stephen A. Lauer

Certilytics, Inc., 9200 Shelbyville Rd, Louisville, KY, 40222, USA

Lorenz A. Kapsner

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

Maximilian Mücke

Department of Statistics, LMU Munich, Germany

Zezhi Wang

Department of Statistics and Finance/International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, China

Damir Pulatov

University of North Carolina Wilmington

Keenan Ganz

School of Environmental and Forest Sciences, University of Washington, Seattle

Henri Funk

Munich Center for Machine Learning (MCML), Germany, Department of Geography, LMU Munich, Germany, Statistical Consulting Unit StaBLab, LMU Munich, Germany

Liana Harutyunyan
ServiceTitan, Inc., Glendale, California

Pierre Camilleri

multi, 8 passage Brûlon, 75012 PARIS, France

Philipp Kopper

Munich Center for Machine Learning (MCML), Germany

Andreas Bender

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

Baisu Zhou

Department of Computer Science, University of Tübingen

Niko German

Department of Statistics, LMU Munich, Germany

Lona Koers

Department of Statistics, LMU Munich, Germany

Anna Nazarova
Department of Statistics, LMU Munich, Germany

Bernd Bischl

Department of Statistics, LMU Munich, Germany, Munich Center for Machine Learning (MCML), Germany

Editor

Richard Littauer

GitHub Events

Total

Create event: 56
Release event: 1
Issues event: 49
Watch event: 12
Delete event: 34
Member event: 2
Issue comment event: 88
Push event: 461
Pull request event: 90
Pull request review comment event: 110
Pull request review event: 59
Fork event: 10

Last Year

Create event: 52
Issues event: 43
Watch event: 11
Delete event: 32
Member event: 2
Issue comment event: 68
Push event: 446
Pull request review event: 52
Pull request review comment event: 106
Pull request event: 85
Fork event: 9

Committers

Last synced: 3 months ago

All Time

Total Commits: 1,227
Total Committers: 37
Avg Commits per committer: 33.162
Development Distribution Score (DDS): 0.593

Past Year

Commits: 106
Committers: 11
Avg Commits per committer: 9.636
Development Distribution Score (DDS): 0.726

Top Committers

Name	Email	Commits
Raphael Sonabend	r**5@u**k	500
Sebastian Fischer	s**r@g**m	309
Raphael Sonabend	r**d@g**m	129
Pierre CAMILLERI	p**i@b**r	41
GitHub Action	a**n@g**m	36
be-marc	m**r@p**e	35
John Zobolas	b****n	33
Michel Lang	m**g@g**m	24
AnnaNzrv	6****v	17
github-actions	4****]	17
salauer	s**r@g**m	10
dependabot[bot]	4****]	8
Pierre Camilleri	c**e@h**r	7
sumny	l**h@w**e	7
Pierre Camilleri	p**i@d**r	6
Maximilian Mücke	m**n@g**m	6
Lukas Burk	j****2	5
pat-s	p**z@g**m	5
bszh	b**u@o**m	4
jgr	3****d	4
Byron	b**r@g**m	4
Lona	1****k	3
GitHub	n**y@g**m	2
Sebastian Fischer	s**6@w**e	2
vlegoff	1****f	1
mb706	m****6	1
bbayukari	4****i	1
Zhaolin Xu	9****l	1
Steven Pawley	d**y@g**m	1
Nikolai German	1****n	1
and 7 more...

Committer Domains (Top 20 + Academic)

github.com: 2 gmx.net: 1 ck37.com: 1 wrig.de: 1 direccte.gouv.fr: 1 posteo.de: 1 banque-france.fr: 1 ucl.ac.uk: 1

Issues and Pull Requests

Last synced: 3 months ago

All Time

Total issues: 111
Total pull requests: 151
Average time to close issues: 6 months
Average time to close pull requests: 27 days
Total issue authors: 43
Total pull request authors: 27
Average comments per issue: 1.67
Average comments per pull request: 0.75
Merged pull requests: 95
Bot issues: 0
Bot pull requests: 14

Past Year

Issues: 24
Pull requests: 68
Average time to close issues: 12 days
Average time to close pull requests: 12 days
Issue authors: 13
Pull request authors: 12
Average comments per issue: 0.92
Average comments per pull request: 0.16
Merged pull requests: 34
Bot issues: 0
Bot pull requests: 5

View more stats

Top Authors

Issue Authors

RaphaelS1 (29)
sebffischer (26)
bblodfon (8)
CodeYueXiong (2)
mb706 (2)
JaGarRod (2)
Vinnish-A (2)
bcjaeger (2)
GitHubGeniusOverlord (2)
agalecki (2)
jemus42 (2)
vviers (1)
pierrecamilleri (1)
invain1218 (1)
a-hanf (1)

Pull Request Authors

RaphaelS1 (32)
AnnaNzrv (17)
sebffischer (17)
be-marc (15)
dependabot[bot] (12)
bblodfon (10)
m-muecke (6)
mllg (6)
lona-k (6)
b-zhou (5)
jemus42 (3)
sumny (3)
JaGarRod (2)
github-actions[bot] (2)
agalecki (2)

Top Labels

Issue Labels

Learner Status: Request (19) Type: Maintenance (6) good first issue (5) Priority: Low (5) Learner Status: Bugs (4) workshop (3) Learner Status: Accepted (3) Status: Available (3) broken learner (3) Status: Accepted (2) Type: Documentation (2) Priority: Medium (2) help wanted (1) archived package (1) Learner Status: Deployed (1) Learner Status: Development (1) Type: Enhancement (1) Priority: High (1) documentation (1) Status: Blocked (1)

Pull Request Labels

dependencies (12) github_actions (1)

Packages

Total packages: 1
Total downloads: unknown

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 58

proxy.golang.org: github.com/mlr-org/mlr3extralearners

Documentation: https://pkg.go.dev/github.com/mlr-org/mlr3extralearners#section-documentation
License: lgpl-3.0
Latest release: v1.2.0
published 4 months ago

Versions: 58
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.5%

Average: 5.7%

Dependent repos count: 5.9%

Last synced: 4 months ago

Dependencies

DESCRIPTION cran

R >= 3.1.0 depends
R6 * imports
checkmate * imports
data.table * imports
methods * imports
mlr3 >= 0.13.1 imports
mlr3misc >= 0.9.4 imports
paradox * imports
C50 * suggests
CoxBoost * suggests
Cubist * suggests
FNN * suggests
LiblineaR * suggests
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actuar * suggests
apcluster * suggests
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dbarts * suggests
distr6 * suggests
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flexsurv * suggests
formattable * suggests
gbm * suggests
glmnet * suggests
gss * suggests
jsonlite * suggests
keras >= 2.3.0 suggests
kernlab * suggests
ks * suggests
lightgbm >= 3.0.0 suggests
lme4 * suggests
locfit * suggests
logspline * suggests
mboost * suggests
mda * suggests
mgcv * suggests
mlr3cluster * suggests
mlr3learners >= 0.4.2 suggests
mlr3proba * suggests
mvtnorm * suggests
nnet * suggests
np * suggests
obliqueRSF * suggests
param6 * suggests
partykit * suggests
penalized * suggests
pendensity * suggests
plugdensity * suggests
pracma * suggests
pseudo * suggests
randomForest * suggests
randomForestSRC * suggests
ranger * suggests
remotes * suggests
reticulate >= 1.16 suggests
rvest * suggests
sandwich * suggests
set6 * suggests
sm * suggests
stats * suggests
survival * suggests
survivalmodels * suggests
survivalsvm * suggests
tensorflow >= 2.0.0 suggests
testthat * suggests
usethis * suggests
xgboost * suggests

.github/workflows/pkgdown.yml actions

JamesIves/github-pages-deploy-action v4.4.1 composite
actions/checkout v3 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

.github/workflows/rcmdcheck.yml actions

actions/checkout v3 composite
mxschmitt/action-tmate v3 composite
r-lib/actions/check-r-package v2 composite
r-lib/actions/setup-pandoc v2 composite
r-lib/actions/setup-r v2 composite
r-lib/actions/setup-r-dependencies v2 composite

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration

Science Score: 95.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.Rmd

Owner

JOSS Publication

mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration

Authors

Editor

Tags

GitHub Events

Total

Last Year

Committers

All Time

Past Year

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Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

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Issue Labels

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Packages

proxy.golang.org: github.com/mlr-org/mlr3extralearners

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Dependencies