mlr_result_assigners_archive: Result Assigner Based on the Archive

In mlr3mbo: Flexible Bayesian Optimization

Result Assigner Based on the Archive

Description

Result assigner that chooses the final point(s) based on all evaluations in the bbotk::Archive. This mimics the default behavior of any bbotk::Optimizer.

Super class

mlr3mbo::ResultAssigner -> ResultAssignerArchive

Active bindings

packages

(character())
Set of required packages. A warning is signaled if at least one of the packages is not installed, but loaded (not attached) later on-demand via requireNamespace().

Methods

Public methods

• ResultAssignerArchive$new()

• ResultAssignerArchive$assign_result()

• ResultAssignerArchive$clone()

Inherited methods

• mlr3mbo::ResultAssigner$format()
• mlr3mbo::ResultAssigner$print()

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Method new()

Creates a new instance of this R6 class.

Usage

ResultAssignerArchive$new()

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Method assign_result()

Assigns the result, i.e., the final point(s) to the instance.

Usage

ResultAssignerArchive$assign_result(instance)

Arguments

instance

(bbotk::OptimInstanceBatchSingleCrit | bbotk::OptimInstanceBatchMultiCrit)
The bbotk::OptimInstance the final result should be assigned to.

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Method clone()

The objects of this class are cloneable with this method.

Usage

ResultAssignerArchive$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other Result Assigner: ResultAssigner, mlr_result_assigners, mlr_result_assigners_surrogate

Examples

result_assigner = ras("archive")

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