plotParetoFronts2D: A classical 2-dimensional plot of Pareto fronts

In TunePareto: Multi-Objective Parameter Tuning for Classifiers

A classical 2-dimensional plot of Pareto fronts

Description

Draws a classical Pareto front plot of 2 objectives of a parameter tuning. The first objective is on the x axis of the plot, and the second objective is on the y axis. Points on a Pareto front are connected by lines. Each Pareto front is drawn in a different color.

Usage

plotParetoFronts2D(tuneParetoResult, 
                   objectives, 
                   drawLabels = TRUE, 
                   drawBoundaries = TRUE, 
                   labelPos = 4,
                   fitLabels=TRUE,
                   cex.conf=0.5, 
                   lty.fronts=1, 
                   pch.fronts=8, 
                   col.fronts,
                   ...)

Arguments

tuneParetoResult	An object of class TuneParetoResult as returned by tunePareto.
objectives	The names or indices of the two objectives to plot. Pareto-optimality is determined only on the basis of these two objectives. Optional if the parameter tuning has exactly two objectives.
drawLabels	If set to true, the descriptions of the configurations are printed next to the points in the plot.
drawBoundaries	If set to true, the upper or lower objective limits supplied in the objectiveBoundaries parameter of tunePareto are drawn as horizontal and vertical lines.
labelPos	The position of the configuration labels in the plot (if drawLabels is true). Values of 1, 2, 3 and 4 denote positions below, to the left of, above and to the right of the points on the Pareto fronts.
fitLabels	If this parameter is true (and drawLabels is true), overlapping or partially hidden configuration labels are removed from the plot to improve the readability of the remaining labels.
cex.conf	The size of the configuration labels in the plots (if drawLabels is true).
lty.fronts	A vector of line types to use for the Pareto fronts. By default, straight lines are drawn for all fronts.
pch.fronts	A vector of symbols to use for points on the Pareto fronts. All points on the same front will have the same symbol. By default, an asterisk is used.
col.fronts	A vector of colors to use for the Pareto fronts. By default, a predefined set of colors is used.
...	Further graphical parameters to be passed to the plot function.

Value

This function does not have a return value.

See Also

tunePareto, plotDominationGraph

Examples

# optimize the 'cost' parameter according
# to CV error and CV Specificity on the 'iris' data set
r <- tunePareto(data = iris[, -ncol(iris)], 
                labels = iris[, ncol(iris)],
                classifier = tunePareto.svm(),
                cost=c(0.001,0.005,0.01,0.05,0.1,0.5,1,5,10,50), 
                objectiveFunctions=list(cvError(10, 10),
                                        cvSpecificity(10, 10, caseClass="setosa")))
                   
# plot the Pareto graph
plotParetoFronts2D(r)

TunePareto documentation built on Oct. 2, 2023, 5:06 p.m.