generate_data.Heatmaps

This procedure calculates the fraction of times algorithm A is better than
algorithm B according to their mean on each function,dimension,target tuple

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.Heatmaps function

<dl><dt>dsList</dt>
<dd>The DataSetList, can contain multiple functions and dimensions, but should have the
same algorithms for all of them. For functions/dimensions where this is not the case,
all algorithms are considered tied.</dd>
<dt>which</dt>
<dd>Whether to use fixed-target ('by_FV') or fixed-budget ('by_RT') perspective</dd>
<dt>target_dt</dt>
<dd>Custom data.table target value to use. When NULL, this is selected automatically.</dd></dl>

Arguments

Nevergrad-dashboard based algorithm comparison — generate_data.Heatmaps

<dl>

<dt>dsList</dt>
<dd>The DataSetList, can contain multiple functions and dimensions, but should have the
same algorithms for all of them. For functions/dimensions where this is not the case,
all algorithms are considered tied.</dd>


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


<dt>target_dt</dt>
<dd>Custom data.table target value to use. When NULL, this is selected automatically.</dd>

</dl>

generate_data.Heatmaps: Nevergrad-dashboard based algorithm comparison

Description

Usage

Value

Arguments

Examples