Package: mlrintermbo Title: Model-Based Optimization for 'mlr3' Through 'mlrMBO' Description: The 'mlrMBO' package can ordinarily not be used for optimization within 'mlr3', because of incompatibilities of their respective class systems. 'mlrintermbo' offers a compatibility interface that provides 'mlrMBO' as an 'mlr3tuning' 'Tuner' object, for tuning of machine learning algorithms within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization of general objective functions using the 'bbotk' black box optimization framework. The control parameters of 'mlrMBO' are faithfully reproduced as a 'paradox' 'ParamSet'. Authors@R: c( person("Martin", "Binder", email = "developer.mb706@doublecaret.com", role = c("aut", "cre"))) URL: https://github.com/mb706/mlrintermbo BugReports: https://github.com/mb706/mlrintermbo/issues License: LGPL-3 Encoding: UTF-8 Imports: backports, checkmate, data.table, mlr3misc (>= 0.1.4), paradox, R6, lhs, callr, bbotk, mlr3tuning Suggests: mlr, ParamHelpers, testthat, rgenoud, DiceKriging, emoa, cmaesr, randomForest, smoof, lgr, mlr3, mlr3learners, mlr3pipelines, mlrMBO, ranger, rpart, mco Roxygen: list(markdown = TRUE, r6 = FALSE) ByteCompile: yes Version: 0.5.1-2 RoxygenNote: 7.3.1 Collate: 'utils.R' 'CapsuledMlr3Learner.R' 'ParamHelpersParamSet.R' 'optimize.R' 'paramset.R' 'TunerInterMBO.R' 'surrogates.R' 'zzz.R' Config/pak/sysreqs: make Repository: https://mb706.r-universe.dev Date/Publication: 2024-10-24 15:51:25 UTC RemoteUrl: https://github.com/mb706/mlrintermbo RemoteRef: HEAD RemoteSha: 056a4987358fff8c1a7e16ec6b8e9c5c2e1c263d NeedsCompilation: no Packaged: 2026-10-10 16:41:40 UTC; root Author: Martin Binder [aut, cre] Maintainer: Martin Binder