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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'.

Versions across snapshots

VersionRepositoryFileSize
0.5.1-1 rolling linux/jammy R-4.5 mlrintermbo_0.5.1-1.tar.gz 139.8 KiB
0.5.1-1 rolling linux/noble R-4.5 mlrintermbo_0.5.1-1.tar.gz 139.6 KiB
0.5.1-1 rolling source/ R- mlrintermbo_0.5.1-1.tar.gz 19.5 KiB
0.5.1-1 latest linux/jammy R-4.5 mlrintermbo_0.5.1-1.tar.gz 139.8 KiB
0.5.1-1 latest linux/noble R-4.5 mlrintermbo_0.5.1-1.tar.gz 139.6 KiB
0.5.1-1 latest source/ R- mlrintermbo_0.5.1-1.tar.gz 19.5 KiB
0.5.1-1 2026-04-26 source/ R- mlrintermbo_0.5.1-1.tar.gz 19.5 KiB
0.5.1-1 2026-04-23 source/ R- mlrintermbo_0.5.1-1.tar.gz 19.5 KiB
0.5.1-1 2026-04-09 windows/windows R-4.5 mlrintermbo_0.5.1-1.zip 159.0 KiB
0.5.1-1 2025-04-20 source/ R- mlrintermbo_0.5.1-1.tar.gz 19.5 KiB

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