default_rf: Default Random Forest

In mlr3mbo: Flexible Bayesian Optimization

Default Random Forest

Description

This is a helper function that constructs a default random forest mlr3learners::LearnerRegrRanger which is for example used in default_surrogate().

Usage

default_rf(noisy = FALSE)

Arguments

noisy

(logical(1)) Whether the learner will be used in a noisy objective function scenario. See default_surrogate().

Value

mlr3learners::LearnerRegrRanger

See Also

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

mlr3mbo documentation built on April 24, 2026, 5:07 p.m.