generate_data.Parameter_correlation

This function generates a dataframe which can be easily plotted using the `plot_general_data`-function

The data analysis module for the Iterative Optimization Heuristics
Profiler ('IOHprofiler'). This module provides statistical analysis methods for the
benchmark data generated by optimization heuristics, which can be visualized through a
web-based interface. The benchmark data is usually generated by the
experimentation module, called 'IOHexperimenter'. 'IOHanalyzer' also supports
the widely used 'COCO' (Comparing Continuous Optimisers) data format for benchmarking.

Diederick Vermetten

IOHanalyzer

Data Analysis Part of 'IOHprofiler'

Hao Wang

Carola Doerr

Thomas Bäck

generate_data.Parameter_correlation function

<dl><dt>dsList</dt>
<dd>The DataSetList object</dd>
<dt>par1</dt>
<dd>The first parameter. Either a parameter name or 'f(x)'</dd>
<dt>par2</dt>
<dd>The second parameter. Either a parameter name or 'f(x)'</dd></dl>

Arguments

Generate dataframe of exactly 2 parameters, matched by running time — generate_data.Parameter_correlation

<dl>

<dt>dsList</dt>
<dd>The DataSetList object</dd>


<dt>par1</dt>
<dd>The first parameter. Either a parameter name or 'f(x)'</dd>


<dt>par2</dt>
<dd>The second parameter. Either a parameter name or 'f(x)'</dd>

</dl>

generate_data.Parameter_correlation: Generate dataframe of exactly 2 parameters, matched by running time

Description

Usage

Arguments

Examples