hookeai.utilities.output_prediction_metrics.plot_prediction_metrics_convergence

plot_prediction_metrics_convergence(processes_results, mean_prediction_metrics, metric_features_labels=None, save_dir=None, is_save_plot_data=False, is_save_fig=False, is_stdout_display=False, is_latex=False)

Plot mean prediction metrics convergence analysis.

Only prediction processes named as ‘nX’, where X is a given training dataset size, are processed.

Parameters:

• processes_results (dict) – For each prediction process (key, str), store the corresponding mean prediction metrics data (item, dict).

• mean_prediction_metrics (list[str]) – Mean prediction metrics.

• metric_features_labels (dict, default=None) – For each prediction metric (key, str), store the corresponding features labels (list, str).

• save_dir (str, default=None) – Directory where data set plots are saved.

• is_save_fig (bool, default=False) – Save figure.

• is_save_plot_data (bool, default=False) – Save plot data. Plot data is stored in a file with a single dictionary where each item corresponds to a relevant variable used to generate the plot. If the figure directory is provided, then plot data is saved in the same directory, otherwise is saved in the current working directory.

• is_stdout_display (bool, default=False) – True if displaying figure to standard output device, False otherwise.

• is_latex (bool, default=False) – If True, then render all strings in LaTeX. If LaTex is not available, then this option is silently set to False and all input strings are processed to remove $(…)$ enclosure.