optimize_async_default

Used internally in OptimizerAsync.

internal

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

optimize_async_default function

<dl><dt>instance</dt>
<dd>OptimInstanceAsync.</dd>
<dt>optimizer</dt>
<dd>OptimizerAsync.</dd>
<dt>design</dt>
<dd><code><a href="/link/data.table%3A%3Adata.table()?package=bbotk&version=1.5.0" data-mini-rdoc="bbotk::data.table::data.table()">data.table::data.table()</a></code> 
(Initial) design send to the queue.</dd>
<dt>n_workers</dt>
<dd>Number of workers to be started.
Defaults to the number of workers set by <code>rush::rush_plan()</code>.</dd></dl>

Arguments

Default Asynchronous Optimization — optimize_async_default

<dl>

<dt>instance</dt>
<dd>OptimInstanceAsync.</dd>


<dt>optimizer</dt>
<dd>OptimizerAsync.</dd>


<dt>design</dt>
<dd><code><a href='https://rdrr.io/pkg/data.table/man/data.table.html'>data.table::data.table()</a></code> 
(Initial) design send to the queue.</dd>


<dt>n_workers</dt>
<dd>Number of workers to be started.
Defaults to the number of workers set by <code>rush::rush_plan()</code>.</dd>

</dl>

optimize_async_default: Default Asynchronous Optimization

Description

Usage

Arguments