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'.
Version: 0.5.1-1 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 Published: 2024-06-07 DOI: 10.32614/CRAN.package.mlrintermbo Author: Martin Binder [aut, cre] Maintainer: Martin Binder <developer.mb706 at doublecaret.com> BugReports: https://github.com/mb706/mlrintermbo/issues License: LGPL-3 URL: https://github.com/mb706/mlrintermbo NeedsCompilation: no Materials: README NEWS CRAN checks: mlrintermbo results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mlrintermbo to link to this page.
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