search_start

Returns a named numeric vector with start
values for optimizers.

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

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>

search_start: Get start values for optimizers

Description

Usage

Value

Arguments