choose_search_space

Determines the search space from an objective's domain, handling TuneTokens.
Used internally by OptimInstance and OptimInstanceAsync.

Features highly configurable search spaces via the 'paradox'
package and optimizes every user-defined objective function. The
package includes several optimization algorithms e.g. Random Search,
Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband
(in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning',
'mlr3fselect' and 'miesmuschel'.

Marc Becker

bbotk

Black-Box Optimization Toolkit

Jakob Richter

Michel Lang

Bernd Bischl

Martin Binder

Olaf Mersmann

choose_search_space function

<dl><dt>objective</dt>
<dd>(Objective) The objective function.</dd>
<dt>search_space</dt>
<dd>(paradox::ParamSet | <code>NULL</code>) Optional explicit search space.</dd></dl>

Arguments

Choose Search Space — choose_search_space

<dl>

<dt>objective</dt>
<dd>(Objective) The objective function.</dd>


<dt>search_space</dt>
<dd>(paradox::ParamSet | <code>NULL</code>) Optional explicit search space.</dd>

</dl>

choose_search_space: Choose Search Space

Description

Usage

Value

Arguments