generate_data.Single_Function

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.Single_Function function

<dl><dt>dsList</dt>
<dd>The DataSetList object</dd>
<dt>start</dt>
<dd>Optional start value (Runtime or target value)</dd>
<dt>stop</dt>
<dd>Optional end value (Runtime or target value)</dd>
<dt>scale_log</dt>
<dd>Wheterh to use logarithmic scaling or not</dd>
<dt>which</dt>
<dd>Whether to use a fixed-target 'by_RT' perspective or fixed-budget 'by_FV'</dd>
<dt>include_opts</dt>
<dd>Whether or not to also include the best value hit by each algorithm to
the generated datapoints</dd>
<dt>budget</dt>
<dd>Optional; overwrites the budget of each individual algorithm when doing ERT calculations. Only works
in fixed_target mode.</dd>
<dt>include_geom_mean</dt>
<dd>Boolean to indicate whether to include the geometric mean.
Only works in fixed_budget mode. Negative values cause NaN, zeros cause output to be completely 0. Defaults to False.</dd></dl>

Arguments

Generate dataframe of a single function/dimension pair — generate_data.Single_Function

<dl>

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


<dt>start</dt>
<dd>Optional start value (Runtime or target value)</dd>


<dt>stop</dt>
<dd>Optional end value (Runtime or target value)</dd>


<dt>scale_log</dt>
<dd>Wheterh to use logarithmic scaling or not</dd>


<dt>which</dt>
<dd>Whether to use a fixed-target 'by_RT' perspective or fixed-budget 'by_FV'</dd>


<dt>include_opts</dt>
<dd>Whether or not to also include the best value hit by each algorithm to
the generated datapoints</dd>


<dt>budget</dt>
<dd>Optional; overwrites the budget of each individual algorithm when doing ERT calculations. Only works
in fixed_target mode.</dd>


<dt>include_geom_mean</dt>
<dd>Boolean to indicate whether to include the geometric mean.
Only works in fixed_budget mode. Negative values cause NaN, zeros cause output to be completely 0. Defaults to False.</dd>

</dl>

generate_data.Single_Function: Generate dataframe of a single function/dimension pair

Description

Usage

Arguments

Examples