diff --git a/DESCRIPTION b/DESCRIPTION new file mode 100644 index 00000000..a1af1468 --- /dev/null +++ b/DESCRIPTION @@ -0,0 +1,87 @@ +Package: mlr3tuning +Title: Hyperparameter Optimization for 'mlr3' +Version: 0.19.2.9000 +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 +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