Chooses a default loop_function, i.e. the Bayesian Optimization flavor to be used for optimization. For single-objective optimization, defaults to bayesopt_ego. For multi-objective optimization, defaults to bayesopt_smsego.
Arguments
- instance
(bbotk::OptimInstance)
An object that inherits from bbotk::OptimInstance.
See also
Other mbo_defaults:
default_acqfunction(),
default_acqoptimizer(),
default_gp(),
default_result_assigner(),
default_rf(),
default_surrogate(),
mbo_defaults