generate_data.EAF_diff_Approximate: Generate EAF-differences between each function and the...

In IOHanalyzer: Data Analysis Part of 'IOHprofiler'

Generate EAF-differences between each function and the remaining portfolio

Description

This is an approximation of “, since the number of required polygons can quickly become problematic for plotly. This function uses discretized contour matrices instead, which trades off accuracy for scalability.

Usage

generate_data.EAF_diff_Approximate(
  dsList,
  xmin,
  xmax,
  ymin,
  ymax,
  x.log = T,
  y.log = T
)

Arguments

dsList	The DataSetList object, containing at least 2 IDs
xmin	Minimum runtime to consider
xmax	Maximum runtime to consider
ymin	Minimum f(x) to consider
ymax	Maximum f(x) to consider
x.log	Whether to scale the y-space logarithmically
y.log	Whether to scale the y-space logarithmically

Examples

generate_data.EAF_diff_Approximate(subset(dsl, funcId == 1), 1, 16, 1, 16)

IOHanalyzer documentation built on Sept. 20, 2023, 5:07 p.m.