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mlr3automl  

Automated Machine Learning for 'mlr3'
View on CRAN: Click here


Download and install mlr3automl package within the R console
Install from CRAN:
install.packages("mlr3automl")

Install from Github:
library("remotes")
install_github("cran/mlr3automl")

Install by package version:
library("remotes")
install_version("mlr3automl", "0.1.0")



Attach the package and use:
library("mlr3automl")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-03
Latest Update: 2026-09-03
Description:
Flexible automated machine learning (AutoML) system for the 'mlr3' ecosystem. Automatically selects a suitable machine learning algorithm and tunes its hyperparameters for a given task. Constructs preprocessing pipelines with multiple parallel branches using 'mlr3pipelines' and jointly optimizes them together with the learners using 'mlr3tuning'. The optimization is driven by asynchronous decentralized Bayesian optimization by Egele et al. (2023) <doi:10.1109/e-Science58273.2023.10254839>.
How to cite:
Marc Becker (2026). mlr3automl: Automated Machine Learning for 'mlr3'. R package version 0.1.0, https://cran.r-project.org/web/packages/mlr3automl. Accessed 22 Sep. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for mlr3automl
Functions, R codes and Examples using the mlr3automl R package
Full mlr3automl package functions and examples
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