spotAlgEsGetSuccessRate

<p>Population to be evaluated (only the generation <code>gen</code> will be evaluated)</p>

<p>This function determines the success rate.</p>

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

spotAlgEsGetSuccessRate function

get Success Rate — spotAlgEsGetSuccessRate

get Success Rate

spotAlgEsGetSuccessRate: get Success Rate

Description

Usage

Arguments

Value

See Also