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" href="/link/eafplot?package=ParamHelpers&version=1.8&to=eaf" data-mini-rdoc="eaf::eafplot">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" href="/link/eafplot?package=ParamHelpers&version=1.8&to=eaf" data-mini-rdoc="eaf::eafplot">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.

Bernd Bischl

ParamHelpers

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

plotEAF function

[any]
Passed on to <code><a rd-options='eaf' href='eafplot'>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' href='eafplot'>eafplot</a></code>.


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

Description

Usage

Arguments

Value