daceLikelihood

model parameter vector to be evaluated

theta

model option list, as created with <code><a rd-options="" href="/link/dacePrepareFit?package=SPOT&version=2.11.10" data-mini-rdoc="SPOT::dacePrepareFit">dacePrepareFit</a></code>

pars

Value for nugget. Default is -1, which means the nugget was optimized during MLE.

nugget

Returns the maximum likelihood for the model parameter optimization.

internal

A set of tools for model-based optimization and tuning of
algorithms (hyperparameter tuning respectively hyperparameter optimization). 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

Martin Zaefferer

Frederik Rehbach

Margarita Rebolledo

Joerg Stork

Christian Lasarczyk

daceLikelihood function

model option list, as created with <code><a rd-options='' href='dacePrepareFit'>dacePrepareFit</a></code>

daceLikelihood: Wrapper for Maximum Likelihood Estimation

Description

Usage

Arguments

Value

See Also