thetaNugget

<p>parameter vector. First dim(x) entries are theta values, 
last entry is nugget parameter.</p>

<p>get theta (distance, lengthscale)
and nugget (noise) parameters gradient</p>

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

thetaNugget: thetaNugget

Description

Usage

Arguments

Value