Package: mlr3automl
Title: Automated Machine Learning for 'mlr3'
Version: 0.1.0.9000
Authors@R: c(
    person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut", "cph"),
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Damir", "Pulatov", , "damirpolat@protonmail.com", role = "aut"),
    person("Baisu", "Zhou", , "baisu.zhou@outlook.com", role = "aut"),
    person("Lona", "Koers", , "lona.koers@gmail.com", role = "aut")
  )
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>.
License: LGPL-3
URL: https://mlr3automl.mlr-org.com,
        https://github.com/mlr-org/mlr3automl
BugReports: https://github.com/mlr-org/mlr3automl/issues
Depends: mlr3 (>= 1.6.0), mlr3tuning (>= 1.6.0), R (>= 3.3.0), rush (>=
        1.3.0)
Imports: bbotk (>= 1.13.0), checkmate, data.table, lhs, mlr3learners
        (>= 0.14.0), mlr3mbo (>= 1.2.0), mlr3misc (>= 0.15.1),
        mlr3pipelines, paradox (>= 1.0.1), R6, utils
Suggests: callr, e1071, fastai, glmnet, kknn, lgr, lightgbm, MASS,
        mirai, mlr3extralearners (>= 1.7.0), mlr3torch (>= 0.3.3),
        mlr3viz, ranger, redux, reticulate, rpart, testthat (>= 3.0.0),
        torch, xgboost (>= 3.2.1.1)
Remotes: mlr-org/mlr3mbo@adbo_subspaces
Additional_repositories: https://mlr-org.r-universe.dev
Config/roxygen2/version: 8.1.0
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE, r6 = TRUE)
Collate: 'mlr_auto.R' 'Auto.R' 'AutoCatboost.R' 'AutoExtraTrees.R'
        'AutoFTTransformer.R' 'AutoFastai.R' 'AutoGlmnet.R'
        'AutoKKNN.R' 'AutoLda.R' 'AutoLightGBM.R' 'AutoMLP.R'
        'AutoRanger.R' 'AutoResNet.R' 'AutoSVM.R' 'AutoTabFM.R'
        'AutoTabPFN.R' 'AutoXgboost.R' 'aaa.R' 'LearnerAuto.R'
        'LearnerClassifAuto.R' 'LearnerClassifAutoCatboost.R'
        'LearnerClassifAutoFTTransformer.R'
        'LearnerClassifAutoFastai.R' 'LearnerClassifAutoGlmnet.R'
        'LearnerClassifAutoKKNN.R' 'LearnerClassifAutoLightGBM.R'
        'LearnerClassifAutoMLP.R' 'LearnerClassifAutoRanger.R'
        'LearnerClassifAutoResNet.R' 'LearnerClassifAutoSVM.R'
        'LearnerClassifAutoTabFM.R' 'LearnerClassifAutoTabPFN.R'
        'LearnerClassifAutoXgboost.R' 'LearnerRegrAuto.R'
        'LearnerRegrAutoCatboost.R' 'LearnerRegrAutoFTTransformer.R'
        'LearnerRegrAutoGlmnet.R' 'LearnerRegrAutoKKNN.R'
        'LearnerRegrAutoLightGBM.R' 'LearnerRegrAutoMLP.R'
        'LearnerRegrAutoRanger.R' 'LearnerRegrAutoResNet.R'
        'LearnerRegrAutoSVM.R' 'LearnerRegrAutoTabFM.R'
        'LearnerRegrAutoTabPFN.R' 'LearnerRegrAutoXgboost.R' 'helper.R'
        'install_python_learners.R' 'isolated_model.R'
        'mlr_callbacks.R' 'sugar.R' 'train_auto.R' 'zzz.R'
Config/pak/sysreqs: make libhiredis-dev libssl-dev
Repository: https://mlr-org.r-universe.dev
Date/Publication: 2026-09-23 13:08:26 UTC
RemoteUrl: https://github.com/mlr-org/mlr3automl
RemoteRef: HEAD
RemoteSha: 6912c0e0ad8a369a7e795ea5cb5a43a9c10e155e
Packaged: 2026-09-23 17:41:14 UTC; root
Author: Marc Becker [cre, aut, cph] (ORCID:
    <https://orcid.org/0000-0002-8115-0400>),
  Damir Pulatov [aut],
  Baisu Zhou [aut],
  Lona Koers [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>