get_marg_contrib_ecdf

Based on the contribution to the ECDF-curve of the VBS of the portfolio

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

get_marg_contrib_ecdf function

<dl><dt>id</dt>
<dd>The id for which to get the contribution</dd>
<dt>perm</dt>
<dd>The permutation of algorithms to which is being contributed</dd>
<dt>j</dt>
<dd>At which point in the permutation the contribution should be measured</dd>
<dt>dt</dt>
<dd>The datatable in which the raw ecdf-values are stored (see `generate_data.ECDF_raw`)</dd></dl>

Arguments

Get the marginal contribution of an algorithm to a portfolio — get_marg_contrib_ecdf

<dl>

<dt>id</dt>
<dd>The id for which to get the contribution</dd>


<dt>perm</dt>
<dd>The permutation of algorithms to which is being contributed</dd>


<dt>j</dt>
<dd>At which point in the permutation the contribution should be measured</dd>


<dt>dt</dt>
<dd>The datatable in which the raw ecdf-values are stored (see `generate_data.ECDF_raw`)</dd>

</dl>

get_marg_contrib_ecdf: Get the marginal contribution of an algorithm to a portfolio

Description

Usage

Arguments

Examples