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'.
- Version0.5.1-1
- R versionunknown
- LicenseLGPL-3
- Needs compilation?No
- Last release06/07/2024
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Martin Binder
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- Imports10 packages
- Suggests17 packages