default_loop_function: Default Loop Function

View source: R/mbo_defaults.R

default_loop_functionR Documentation

Default Loop Function

Description

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.

Usage

default_loop_function(instance)

Arguments

instance

(bbotk::OptimInstance)
An object that inherits from bbotk::OptimInstance.

Value

loop_function

See Also

Other mbo_defaults: default_acqfunction(), default_acqoptimizer(), default_gp(), default_result_assigner(), default_rf(), default_surrogate(), mbo_defaults


mlr3mbo documentation built on Oct. 17, 2024, 1:06 a.m.