default_rf: Default Random Forest
In mlr3mbo: Flexible Bayesian Optimization
default_rf R Documentation
Default Random Forest
Description
This is a helper function that constructs a default random forest mlr3::LearnerRegr which is for example used in
default_surrogate.
Constructs a ranger learner “"regr.ranger"” with num.trees = 100, keep.inbag = TRUE and
se.method = "jack".
Usage
default_rf(noisy = FALSE)
Arguments
noisy
(logical(1))
Whether the learner will be used in a noisy objective function scenario.
Currently has no effect.
Value
mlr3::LearnerRegr
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 Oct. 17, 2024, 1:06 a.m.
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| default_rf | R Documentation |
Default Random Forest
Description
This is a helper function that constructs a default random forest mlr3::LearnerRegr which is for example used in default_surrogate.
Constructs a ranger learner “"regr.ranger"” with num.trees = 100, keep.inbag = TRUE and
se.method = "jack".
Usage
default_rf(noisy = FALSE)
Arguments
noisy |
(logical(1)) |
Value
mlr3::LearnerRegr
See Also
Other mbo_defaults:
default_acqfunction(),
default_acqoptimizer(),
default_gp(),
default_loop_function(),
default_result_assigner(),
default_surrogate(),
mbo_defaults
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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