search_start

<a rd-options="" href="/link/ParamSet?package=bbotk&version=0.5.3" data-mini-rdoc="bbotk::ParamSet">ParamSet</a>.

search_space

(<code>character(1)</code>)
<code>random</code> start values or <code>center</code> of search space?

type

Returns a named numeric vector with start
values for optimizers.

internal

Provides a common framework for optimization of black-box
functions for other packages, e.g. 'mlr3tuning' or 'mlr3fselect'. It
offers various optimization methods e.g. grid search, random search,
generalized simulated annealing and iterated racing.

Marc Becker

bbotk

Black-Box Optimization Toolkit

Jakob Richter

Michel Lang

Bernd Bischl

Martin Binder

Olaf Mersmann

search_start function

<dl><dt>search_space</dt>
<dd>ParamSet.</dd>
<dt>type</dt>
<dd>(<code>character(1)</code>) 
<code>random</code> start values or <code>center</code> of search space?</dd></dl>

Arguments

Get start values for optimizers — search_start

<dl>

<dt>search_space</dt>
<dd>ParamSet.</dd>


<dt>type</dt>
<dd>(<code>character(1)</code>) 
<code>random</code> start values or <code>center</code> of search space?</dd>

</dl>

State of Data and AI Literacy Report 2025

search_start: Get start values for optimizers

Description

Usage

Value

Arguments