iraceplot-package | R Documentation |
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.
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/
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)
Useful links:
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