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cff-version: 1.2.0
message: 'To cite package "mlr3automl" in publications use:'
type: software
license: LGPL-3.0-only
title: 'mlr3automl: Automated Machine Learning for ''mlr3'''
version: 0.1.0.9000
doi: 10.32614/CRAN.package.mlr3automl
abstract: 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) <https://doi.org/10.1109/e-Science58273.2023.10254839>.
authors:
- family-names: Becker
  given-names: Marc
  email: marcbecker@posteo.de
  orcid: https://orcid.org/0000-0002-8115-0400
- family-names: Pulatov
  given-names: Damir
  email: damirpolat@protonmail.com
- family-names: Zhou
  given-names: Baisu
  email: baisu.zhou@outlook.com
- family-names: Koers
  given-names: Lona
  email: lona.koers@gmail.com
repository: https://mlr-org.r-universe.dev
repository-code: https://github.com/mlr-org/mlr3automl
commit: 6912c0e0ad8a369a7e795ea5cb5a43a9c10e155e
url: https://mlr3automl.mlr-org.com
date-released: '2026-09-23'
contact:
- family-names: Becker
  given-names: Marc
  email: marcbecker@posteo.de
  orcid: https://orcid.org/0000-0002-8115-0400