plotTuneMultiCritResult

Visualizes the pareto front and possibly the dominated points.

Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There
is also an experimental extension for survival analysis, clustering
and general, example-specific cost-sensitive learning. Generic
resampling, including cross-validation, bootstrapping and subsampling.
Hyperparameter tuning with modern optimization techniques, for single-
and multi-objective problems.  Filter and wrapper methods for feature
selection. Extension of basic learners with additional operations
common in machine learning, also allowing for easy nested resampling.
Most operations can be parallelized.

Patrick Schratz

Machine Learning in R

Bernd Bischl

Michel Lang

Lars Kotthoff

Julia Schiffner

Jakob Richter

Zachary Jones

Giuseppe Casalicchio

Mason Gallo

Jakob Bossek

Erich Studerus

Leonard Judt

Tobias Kuehn

Pascal Kerschke

Florian Fendt

Philipp Probst

Xudong Sun

Janek Thomas

Bruno Vieira

Laura Beggel

Quay Au

Martin Binder

Florian Pfisterer

Stefan Coors

Steve Bronder

Alexander Engelhardt

Christoph Molnar

Annette Spooner

plotTuneMultiCritResult function

<dl><dt>res</dt>
<dd>(TuneMultiCritResult) 
Result of tuneParamsMultiCrit.</dd>
<dt>path</dt>
<dd>(<code>logical(1)</code>) 
Visualize all evaluated points (or only the non-dominated pareto front)?
For the full path, the size of the points on the front is slightly increased.
Default is <code>TRUE</code>.</dd>
<dt>col</dt>
<dd>(<code>character(1)</code>) 
Which column of <code>res$opt.path</code> should be mapped to ggplot2 color?
Default is <code>NULL</code>, which means none.</dd>
<dt>shape</dt>
<dd>(<code>character(1)</code>) 
Which column of <code>res$opt.path</code> should be mapped to ggplot2 shape?
Default is <code>NULL</code>, which means none.</dd>
<dt>pointsize</dt>
<dd>(<code>numeric(1)</code>) 
Point size for ggplot2 <a href="https://ggplot2.tidyverse.org/reference/geom_point.html">ggplot2::geom_point</a> for data points.
Default is 2.</dd>
<dt>pretty.names</dt>
<dd>(<code>logical(1)</code>) 
Whether to use the ID of the measures instead of their name in labels. Defaults to <code>TRUE</code>.</dd></dl>

Arguments

Plots multi-criteria results after tuning using ggplot2. — plotTuneMultiCritResult

<dl>

<dt>res</dt>
<dd>(TuneMultiCritResult) 
Result of tuneParamsMultiCrit.</dd>


<dt>path</dt>
<dd>(<code>logical(1)</code>) 
Visualize all evaluated points (or only the non-dominated pareto front)?
For the full path, the size of the points on the front is slightly increased.
Default is <code>TRUE</code>.</dd>


<dt>col</dt>
<dd>(<code>character(1)</code>) 
Which column of <code>res$opt.path</code> should be mapped to ggplot2 color?
Default is <code>NULL</code>, which means none.</dd>


<dt>shape</dt>
<dd>(<code>character(1)</code>) 
Which column of <code>res$opt.path</code> should be mapped to ggplot2 shape?
Default is <code>NULL</code>, which means none.</dd>


<dt>pointsize</dt>
<dd>(<code>numeric(1)</code>) 
Point size for ggplot2 <a href='https://ggplot2.tidyverse.org/reference/geom_point.html'>ggplot2::geom_point</a> for data points.
Default is 2.</dd>


<dt>pretty.names</dt>
<dd>(<code>logical(1)</code>) 
Whether to use the ID of the measures instead of their name in labels. Defaults to <code>TRUE</code>.</dd>

</dl>

Plots multi-criteria results after tuning using ggplot2.

plotTuneMultiCritResult: Plots multi-criteria results after tuning using ggplot2.

Description

Usage

Value

Arguments

See Also

Examples