The iraceplot package: Plots for Visualizing the Data Produced by the 'irace' Package

Graphical visualization tools for analyzing the data produced by 'irace'. The 'iraceplot' package enables users to analyze the performance and the parameter space data sampled by the configuration during the search process. It provides a set of functions that generate different plots to visualize the configurations sampled during the execution of 'irace' and their performance. The functions just require the log file generated by 'irace' and, in some cases, they can be used with user-provided data.

Details

boxplot_performance; boxplot_test; boxplot_training; parallel_cat; plot_configurations; parallel_coord; plot_experiments_matrix; plot_model; report; sampling_distance; sampling_frequency; sampling_frequency_iteration; sampling_heatmap2; sampling_heatmap; sampling_pie; scatter_performance; scatter_test; scatter_training;

If you need information about any function you can write: ?name_function

If you need more information, go to the following page: https://auto-optimization.github.io/iraceplot/

See also

Useful links:

• https://auto-optimization.github.io/iraceplot/

• https://github.com/auto-optimization/iraceplot/

• Report bugs at https://github.com/auto-optimization/iraceplot/issues

Author

Maintainer: Manuel López-Ibáñez manuel.lopez-ibanez@manchester.ac.uk (ORCID)

Authors:

• Pablo Oñate Marín pablo.onate.m@gmail.com

• Leslie Pérez Cáceres leslie.perez@pucv.cl (ORCID)