mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO'
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: |
0.5.0 |
| 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 |
| Published: |
2021-03-01 |
| 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:
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