plotSingleDimFunction

function to be plotted. The function should either be able to take two vectors or one matrix specifying sample locations. i.e. <code>z=f(X)</code> or <code>z=f(x2,x1)</code> where Z is a two column matrix containing the sample locations <code>x1</code> and <code>x2</code>.

evalFun

boundary for x1 and x2 (defaults to <code>c(0,0)</code>).

lower

boundary (defaults to <code>c(1,1)</code>).

upper

String, which type of uncertainty estimation should be plotted? default: NULL - no estimation plotted. 's' standard estimation. 'sLinear' linearly adapted estimation.

target

Plot a single dimensional Function

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.

plotSingleDimFunction: plotSingleDimFunction

Description

Usage

Arguments