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DESCRIPTION

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+Package: mlr3tuning
+Title: Hyperparameter Optimization for 'mlr3'
+Version: 0.19.2.9000
+Authors@R: c(
+    person("Marc", "Becker", , "[email protected]", role = c("cre", "aut"),
+           comment = c(ORCID = "0000-0002-8115-0400")),
+    person("Michel", "Lang", , "[email protected]", role = "aut",
+           comment = c(ORCID = "0000-0001-9754-0393")),
+    person("Jakob", "Richter", , "[email protected]", role = "aut",
+           comment = c(ORCID = "0000-0003-4481-5554")),
+    person("Bernd", "Bischl", , "[email protected]", role = "aut",
+           comment = c(ORCID = "0000-0001-6002-6980")),
+    person("Daniel", "Schalk", , "[email protected]", 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
+Roxygen: list(markdown = TRUE)
+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