Package: mlr3tuning
Title: Hyperparameter Optimization for 'mlr3'
Version: 0.19.1
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 (>= 0.17.0), paradox (>= 0.10.0), R (>= 3.1.0)
Imports: bbotk (>= 0.7.3), checkmate (>= 2.0.0), data.table, lgr,
        mlr3misc (>= 0.13.0), R6
Suggests: adagio, GenSA, irace, knitr, mlr3learners (>= 0.5.5),
        mlr3pipelines, nloptr, rmarkdown, rpart, testthat (>= 3.0.0),
        xgboost
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.2.3
Collate: 'ArchiveTuning.R' 'AutoTuner.R' 'CallbackTuning.R'
        'ContextEval.R' 'ObjectiveTuning.R' 'mlr_tuners.R' 'Tuner.R'
        'TunerCmaes.R' 'TunerDesignPoints.R' 'TunerFromOptimizer.R'
        'TunerGenSA.R' 'TunerGridSearch.R' 'TunerIrace.R'
        'TunerNLoptr.R' 'TunerRandomSearch.R'
        'TuningInstanceSingleCrit.R' 'TuningInstanceMulticrit.R'
        'as_search_space.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'
VignetteBuilder: knitr
Packaged: 2023-11-20 16:50:22 UTC; marc
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>),
  Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>),
  Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>),
  Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>),
  Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2023-11-20 17:40:02 UTC
