mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (original) (raw)
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 |
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