assign_result_default

Used internally in the Optimizer.
It is the default way to determine the result by simply obtaining the best performing result from the archive.

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

assign_result_default function

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

Arguments

Default Assign Result Function — assign_result_default

<dl>

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

</dl>

assign_result_default: Default Assign Result Function

Description

Usage

Arguments