Flexible and comprehensive R toolbox for model-based optimization ('MBO'), also known as Bayesian optimization. It is designed for both single- and multi-objective optimization with mixed continuous, categorical and conditional parameters. The machine learning toolbox 'mlr' provide dozens of regression learners to model the performance of the target algorithm with respect to the parameter settings. It provides many different infill criteria to guide the search process. Additional features include ...

LicenseBSD 2-clause
Ranking#159770 in MvnRepository (See Top Artifacts)
Used By2 artifacts

1.1.1-b1BeDataDrivenMay 01, 2022