resTuneRegionModel

A data set resulting from a `spot` tuning run.

datasets

A set of tools for model-based optimization and tuning of
algorithms. It includes surrogate models, optimizers, and design of experiment
approaches. The main interface is spot, which uses sequentially updated
surrogate models for the purpose of efficient optimization. The main goal is
to ease the burden of objective function evaluations, when a single evaluation
requires a significant amount of resources.

Thomas Bartz-Beielstein

SPOT

Sequential Parameter Optimization Toolbox

Joerg Stork

Martin Zaefferer

Margarita Rebolledo

Christian Lasarczyk

Frederik Rehbach

resTuneRegionModel function

A list of 7 entries:<dl class="dl-horizontal">
	<dt><code>regionName</code></dt><dd>e.g., "Afghanistan/": List of 7</dd><dt><code>xbest</code></dt><dd>Parameters of the best found solution (matrix).</dd>
	<dt><code>ybest</code></dt><dd>Objective function value of the best found solution (matrix).</dd>
	<dt><code>x</code></dt><dd>Archive of all evaluation parameters (matrix).</dd>
	<dt><code>y</code></dt><dd>Archive of the respective objective function values (matrix).</dd>
	<dt><code>count</code></dt><dd>Number of performed objective function evaluations.</dd>
	<dt><code>msg</code></dt><dd>Message specifying the reason of termination.</dd>
	<dt><code>modelFit</code></dt><dd>The fit of the last build model, i.e., an object returned by the last call to the function specified by <code>control$model</code>.</dd></dl>

Format

Tuned Region Model Data — resTuneRegionModel

Tuned Region Model Data

resTuneRegionModel: Tuned Region Model Data

Description

Usage

Arguments

Format

Details

See Also