renderYTraces

[<code><a rd-options="" href="/link/OptPath?package=ParamHelpers&version=1.12" data-mini-rdoc="ParamHelpers::OptPath">OptPath</a></code> | list of <code><a rd-options="" href="/link/OptPath?package=ParamHelpers&version=1.12" data-mini-rdoc="ParamHelpers::OptPath">OptPath</a></code>]
Object(s) to plot.

opt.paths

[<code>character</code>]
Should the traces be plotted versus the iteration number or the cumulated
execution time? For the later, the opt.path has to contain a extra column
names exec.time. Possible values are dob and exec.time, default is <code>dob</code>.

over.time

Can be used for only single-objective optimization paths.
Useful to compare runs of different algorithms on the same optimization problem.
You can add your own ggplot layers to the resulting plot object.

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

renderYTraces function

[<code><a rd-options='' href='OptPath'>OptPath</a></code> | list of <code><a rd-options='' href='OptPath'>OptPath</a></code>]
Object(s) to plot.

renderYTraces: Plots Y traces of multiple optimization paths

Description

Usage

Arguments

Value