preprocessCdeTestData

data frame with location information:<dl class="dl-horizontal">
<dt><code>ForecastId</code></dt><dd>int Identifier 1 2 3 ...</dd> 
<dt><code>Province_State</code></dt><dd>chr Province/State</dd> 
<dt><code>Country_Region</code></dt><dd>chr Country/Region, e.g., "Afghanistan" ...</dd> 
<dt><code>Date</code></dt><dd>Date, format: "2020-04-02" ...</dd> 
</dl>

testData

Rename variables and factorize location information.

A set of tools for model-based optimization and tuning of
algorithms. 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

Joerg Stork

Martin Zaefferer

Margarita Rebolledo

Christian Lasarczyk

Frederik Rehbach

preprocessCdeTestData function

data frame with location information:<dl class='dl-horizontal'>
<dt><code>ForecastId</code></dt><dd>int Identifier 1 2 3 ...</dd> 
<dt><code>Province_State</code></dt><dd>chr Province/State</dd> 
<dt><code>Country_Region</code></dt><dd>chr Country/Region, e.g., "Afghanistan" ...</dd> 
<dt><code>Date</code></dt><dd>Date, format: "2020-04-02" ...</dd> 
</dl>

preprocessCdeTestData: preprocessCdeTestData

Description

Usage

Arguments

Value

Details

Examples