spotPlotPower

description of alpha, default value is <code>0.05</code>

alpha

Boolean, default value is <code>FALSE</code>

number of vector elements that should be evaluated, default value is <code>NA</code>, which means the whole vector

description of rightLimit, default value is <code>1</code>

rightLimit

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

spotPlotPower: spotPlotPower

Description

Usage

Arguments

Value