Random Search Acquisition Function Optimizer

Random search acquisition function optimizer. By default, it samples 100 * D^2 random points in the search space, where D is the dimension of the search space. The point with the highest acquisition value is returned.

Parameters

n_evals

integer(1)
Number of random points to sample. Default is 100 * D^2, where D is the dimension of the search space.

Super class

mlr3mbo::AcqOptimizer -> AcqOptimizerRandomSearch

Active bindings

print_id

(character)
Id used when printing.

Methods

Public methods

• AcqOptimizerRandomSearch$new()

• AcqOptimizerRandomSearch$optimize()

• AcqOptimizerRandomSearch$clone()

Inherited methods

• mlr3mbo::AcqOptimizer$format()
• mlr3mbo::AcqOptimizer$print()
• mlr3mbo::AcqOptimizer$reset()

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Method new()

Creates a new instance of this R6 class.

Usage

AcqOptimizerRandomSearch$new(acq_function = NULL)

Arguments

acq_function

(NULL | AcqFunction).

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Method optimize()

Optimize the acquisition function.

Usage

AcqOptimizerRandomSearch$optimize()

Returns

data.table::data.table() with 1 row per candidate.

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Method clone()

The objects of this class are cloneable with this method.

Usage

AcqOptimizerRandomSearch$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

acqo("random_search")
#> <AcqOptimizerRandomSearch>: (OptimizerRandomSearch)
#> * Parameters: catch_errors=TRUE