optimize_default

Used internally in the Optimizer.
Brings together the private <code>.optimize()</code> method and the private <code>.assign_result()</code> method.

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_default function

<dl><dt>inst</dt>
<dd>OptimInstance</dd>
<dt>self</dt>
<dd>Optimizer</dd>
<dt>private</dt>
<dd>(<code><a href="/link/environment()?package=bbotk&version=0.7.3" data-mini-rdoc="bbotk::environment()">environment()</a></code>)</dd></dl>

Arguments

Default optimization function — optimize_default

<dl>

<dt>inst</dt>
<dd>OptimInstance</dd>


<dt>self</dt>
<dd>Optimizer</dd>


<dt>private</dt>
<dd>(<code><a href='https://rdrr.io/r/base/environment.html'>environment()</a></code>)</dd>

</dl>

optimize_default: Default optimization function

Description

Usage

Value

Arguments