boxplot_training: Box Plot Training

In auto-optimization/iraceplot: Plots for Visualizing the Data Produced by the 'irace' Package

Box Plot Training

Description

Creates a box plot that displays the performance of a set of configurations on the training instances. Performance data is obtained from the evaluations performed by irace during the execution process. This implies that the number of evaluations can differ between configurations.

Usage

boxplot_training(
  irace_results,
  iteration = NULL,
  id_configurations = NULL,
  ...
)

Arguments

irace_results	The data generated when loading the .Rdata file created by irace (or the filename of that file).
iteration	Numeric, iteration number that should be included in the plot (example: iteration = 5) When no iteration and no id_condigurations are provided, the iterations is assumed to be the last one performed by irace. The performance data is obtained from the evaluations performed by irace during the execution process. This implies that the number of evaluations can differ between configurations due to the elimination process applied by irace. This plot, consequently, does not provide a complete compaarison of two configurations, for a fair comparison use the test data plot.
id_configurations	Numeric vector, configurations ids whose performance should be included in the plot. If no ids are provided, the configurations ids are set as the elite configuration ids of the selected iteration (last iteration by default) (example: id_configurations = c(20,50,100,300,500,600,700)).
...	Other arguments passed to boxplot_performance().

Value

ggplot2::ggplot() boxplot object

See Also

boxplot_test() boxplot_performance()

Examples

iraceResults <- read_logfile(system.file(package="irace", "exdata",
                                         "irace-acotsp.Rdata", mustWork = TRUE))
boxplot_training(iraceResults)
 
boxplot_training(iraceResults, iteration = 5)
boxplot_training(iraceResults, id_configurations = c(23,28,29))

auto-optimization/iraceplot documentation built on Nov. 29, 2024, 9:36 a.m.