dyngpt.pl.plot_model_comparison_stats

dyngpt.pl.plot_model_comparison_stats(result_valid_set, state_index=[], label_values=['Simulation', 'DynGPT'])

Plot a comparison of statistical properties (mean, standard deviation, and Kullback-Leibler divergence) between simulation and DynGPT results for a given set of data.

Args:

result_valid_set (dict): Dictionary containing the simulation results, including ‘mean_val_ssa’,

‘mean_val_nn’, ‘std_val_ssa’, ‘std_val_nn’, and ‘kl_div’.

state_index (list, optional): List of indices for the states to plot. Defaults to an empty list,

which uses all available states.

label_values (list, optional): Labels to use for the legend, typically [“Simulation”, “DynGPT”].

Defaults to [“Simulation”, “DynGPT”].