advancing_performance_measures_plot.py#

This script creates a plot of the mean and 95% confidence interval of two performance measures (the mean and 95% empirical quantile function) cumulatively for each run.

Parameters:

  • DATA_DIRECTORY (str) – The folder, relative to the ROOT_DIRECTORY (automatically determined), where the input data is located.

  • RESULTS_DIRECTORY (str) – The folder, relative to the ROOT_DIRECTORY (automatically determined), where the output files should be saved.

  • MEAN_RESPONSE_TIME_FILE_1 (str) – The name of the file that contains the first data set with the mean response times.

  • MEAN_RESPONSE_TIME_FILE_2 (str) – The name of the file that contains the second data set with the mean response times.

  • MEAN_RESPONSE_TIME_FILE_3 (str) – The name of the file that contains the third data set with the mean response times.

  • EMP_QUANTILE_FILE_1 (str) – The name of the file that contains the first data set with the 95% empirical quantiles of the response times.

  • EMP_QUANTILE_FILE_2 (str) – The name of the file that contains the second data set with the 95% empirical quantiles of the response times.

  • EMP_QUANTILE_FILE_3 (str) – The name of the file that contains the third data set with the 95% empirical quantiles of the response times.

  • NUM_RUNS (int) – The number of runs that should be plotted.

  • SAVE_PLOT (bool) – Whether the plot should be saved or not.

  • PLOT_NAME (str) – The name of the plot if it is saved.

  • RUN_PARAMETERS_FILE_NAME (str) – The name of the text file with the script parameters if SAVE_PLOT=True.