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_acqfun()
,
default_acqopt()
,
default_surrogate()
,
mbo_defaults