Package: mlr3tuning
Title: Hyperparameter Optimization for 'mlr3'
Version: 1.7.0
Authors@R: c(
    person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Jakob", "Richter", , "jakob1richter@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-4481-5554")),
    person("Bernd", "Bischl", , "bernd_bischl@gmx.net", role = "aut",
           comment = c(ORCID = "0000-0001-6002-6980")),
    person("Daniel", "Schalk", , "daniel.schalk@stat.uni-muenchen.de", role = "aut",
           comment = c(ORCID = "0000-0003-0950-1947"))
  )
Description: Hyperparameter optimization package of the 'mlr3'
        ecosystem. It features highly configurable search spaces via
        the 'paradox' package and finds optimal hyperparameter
        configurations for any 'mlr3' learner.  'mlr3tuning' works with
        several optimization algorithms e.g. Random Search, Iterated
        Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in
        'mlr3hyperband'). Moreover, it can automatically optimize
        learners and estimate the performance of optimized models with
        nested resampling.
License: LGPL-3
URL: https://mlr3tuning.mlr-org.com,
        https://github.com/mlr-org/mlr3tuning
BugReports: https://github.com/mlr-org/mlr3tuning/issues
Depends: mlr3 (>= 0.23.0), paradox (>= 1.0.1), R (>= 3.3.0)
Imports: bbotk (>= 1.13.0), checkmate (>= 2.0.0), cli, data.table, lgr,
        mlr3misc (>= 0.15.1), R6
Suggests: future, GenSA, irace (>= 4.1.0), knitr, libcmaesr, mirai,
        mlflow, mlr3learners (>= 0.14.0), mlr3pipelines (>= 0.5.2),
        nloptr, processx, redux, rush (>= 1.3.0), rmarkdown, rpart,
        testthat (>= 3.0.0), xgboost (>= 3.1.2.1)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/testthat/parallel: false
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
Collate: 'ArchiveAsyncTuning.R' 'ArchiveAsyncTuningFrozen.R'
        'ArchiveBatchTuning.R' 'AutoTuner.R' 'CallbackAsyncTuning.R'
        'CallbackBatchTuning.R' 'ContextAsyncTuning.R'
        'ContextBatchTuning.R' 'ObjectiveTuning.R'
        'ObjectiveTuningAsync.R' 'ObjectiveTuningBatch.R'
        'mlr_tuners.R' 'Tuner.R' 'TunerAsync.R'
        'TunerAsyncDesignPoints.R' 'TunerAsyncFromOptimizerAsync.R'
        'TunerAsyncGridSearch.R' 'TunerAsyncRandomSearch.R'
        'TunerBatch.R' 'TunerBatchCmaes.R' 'TunerBatchDesignPoints.R'
        'TunerBatchFromBatchOptimizer.R' 'TunerBatchGenSA.R'
        'TunerBatchGridSearch.R' 'TunerBatchInternal.R'
        'TunerBatchIrace.R' 'TunerBatchNLoptr.R'
        'TunerBatchRandomSearch.R' 'TuningInstanceBatchSingleCrit.R'
        'TuningInstanceAsyncMulticrit.R'
        'TuningInstanceAsyncSingleCrit.R'
        'TuningInstanceBatchMulticrit.R' 'TuningInstanceMultiCrit.R'
        'TuningInstanceSingleCrit.R' 'as_search_space.R' 'as_tuner.R'
        'assertions.R' 'auto_tuner.R' 'bibentries.R'
        'extract_inner_tuning_archives.R'
        'extract_inner_tuning_results.R' 'helper.R' 'mlr_callbacks.R'
        'reexport.R' 'sugar.R' 'tune.R' 'tune_nested.R' 'zzz.R'
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: make
Repository: https://mlr-org.r-universe.dev
Date/Publication: 2026-09-01 20:38:33 UTC
RemoteUrl: https://github.com/mlr-org/mlr3tuning
RemoteRef: v1.7.0
RemoteSha: 74923a815978fda113fa101be9292e4721f5c8ec
Packaged: 2026-09-18 11:56:58 UTC; root
Author: Marc Becker [cre, aut] (ORCID: <https://orcid.org/0000-0002-8115-0400>),
  Michel Lang [aut] (ORCID: <https://orcid.org/0000-0001-9754-0393>),
  Jakob Richter [aut] (ORCID: <https://orcid.org/0000-0003-4481-5554>),
  Bernd Bischl [aut] (ORCID: <https://orcid.org/0000-0001-6002-6980>),
  Daniel Schalk [aut] (ORCID: <https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>