predict.ensembleStack

Kriging model (settings and parameters) of class <code>kriging</code>.

object

newdata

Predict with ensemble model produced by <code><a rd-options="" href="/link/buildEnsembleStack?package=SPOT&version=2.0.3" data-mini-rdoc="SPOT::buildEnsembleStack">buildEnsembleStack</a></code>.

internal

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.

Martin Zaefferer

SPOT

Sequential Parameter Optimization Toolbox

Thomas Bartz-Beielstein

Joerg Stork

Margarita Rebolledo

Christian Lasarczyk

Joerg Ziegenhirt

Wolfgang Konen

Oliver Flasch

Patrick Koch

Martina Friese

Lorenzo Gentile

Frederik Rehbach

predict.ensembleStack function

Predict with ensemble model produced by <code><a rd-options='' href='buildEnsembleStack'>buildEnsembleStack</a></code>.

Predict Stacked Ensemble — predict.ensembleStack

Predict Stacked Ensemble

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predict.ensembleStack: Predict Stacked Ensemble

Description

Usage

Arguments

Value

See Also