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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'.
Getting started
Browse package contents
Package details |
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| Author | Martin Binder [aut, cre] |
| Maintainer | Martin Binder <developer.mb706@doublecaret.com> |
| License | LGPL-3 |
| Version | 0.5.1-1 |
| URL | https://github.com/mb706/mlrintermbo |
| Package repository | View on CRAN |
| Installation |
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