mlr_optimizers_async_random_search: Asynchronous Optimization via Random Search

In bbotk: Black-Box Optimization Toolkit

Asynchronous Optimization via Random Search

Description

OptimizerAsyncRandomSearch class that implements a simple Random Search.

Dictionary

This Optimizer can be instantiated via the dictionary mlr_optimizers or with the associated sugar function opt():

mlr_optimizers$get("async_random_search")
opt("async_random_search")

Super classes

bbotk::Optimizer -> bbotk::OptimizerAsync -> OptimizerAsyncRandomSearch

Methods

Public methods

• OptimizerAsyncRandomSearch$new()

• OptimizerAsyncRandomSearch$clone()

Inherited methods

• bbotk::Optimizer$format()
• bbotk::Optimizer$help()
• bbotk::Optimizer$print()
• bbotk::OptimizerAsync$optimize()

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Method new()

Creates a new instance of this R6 class.

Usage

OptimizerAsyncRandomSearch$new()

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Method clone()

The objects of this class are cloneable with this method.

Usage

OptimizerAsyncRandomSearch$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Source

Bergstra J, Bengio Y (2012). “Random Search for Hyper-Parameter Optimization.” Journal of Machine Learning Research, 13(10), 281–305. https://jmlr.csail.mit.edu/papers/v13/bergstra12a.html.

bbotk documentation built on June 8, 2025, 11:07 a.m.