plotEAF

(<code>list</code>)
List of list of <code>OptPath</code> objects. First index is the algorithm / major
variation in the experiment, second index is the index of the replicated
run.

opt.paths

(<code>numeric(2)</code>)
The x limits (x1, x2) of the plot.

xlim

(<code>numeric(2)</code>)
The y limits (y1, y2) of the plot.

ylim

(any)
Passed on to <code><a rd-options="eaf:eafplot" href="/link/eaf%3A%3Aeafplot()?package=ParamHelpers&version=1.14&to=eaf%3Aeafplot" data-mini-rdoc="eaf:eafplot::eaf::eafplot()">eaf::eafplot()</a></code>.

Can be used to plot OptPaths where information for bi-objective
evaluation was logged for repeated runs of different algorithmic runs.
Pretty directly calls <code><a rd-options="eaf:eafplot" href="/link/eaf%3A%3Aeafplot()?package=ParamHelpers&version=1.14&to=eaf%3Aeafplot" data-mini-rdoc="eaf:eafplot::eaf::eafplot()">eaf::eafplot()</a></code>.

Functions for parameter descriptions and operations
in black-box optimization, tuning and machine learning. Parameters can
be described (type, constraints, defaults, etc.), combined to
parameter sets and can in general be programmed on. A useful OptPath
object (archive) to log function evaluations is also provided.

Jakob Richter

ParamHelpers

Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning

Bernd Bischl

Michel Lang

Jakob Bossek

Daniel Horn

Karin Schork

Pascal Kerschke

plotEAF function

(any)
Passed on to <code><a rd-options='eaf:eafplot' href='eaf::eafplot()'>eaf::eafplot()</a></code>.

Can be used to plot OptPaths where information for bi-objective
evaluation was logged for repeated runs of different algorithmic runs.
Pretty directly calls <code><a rd-options='eaf:eafplot' href='eaf::eafplot()'>eaf::eafplot()</a></code>.

plotEAF: Plots attainment functions for data stored in multiple OptPaths.

Description

Usage

Arguments

Value