mlrintermbo-package {mlrintermbo}

mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO'

Description

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'.

Author(s)

Maintainer: Martin Binder [e-mail]

See Also

Useful links:

• https://github.com/mb706/mlrintermbo

• Report bugs at https://github.com/mb706/mlrintermbo/issues