hookeai.model_architectures.procedures.convergence_plots.plot_prediction_loss_convergence

plot_prediction_loss_convergence(models_base_dirs, training_dirs, predictions_dirs, filename='testing_loss_convergence', save_dir=None, is_save_fig=False, is_save_plot_data=False, is_stdout_display=False, is_latex=True)

Plot average prediction loss versus training data set size.

Parameters:

• models_base_dirs (tuple[str]) – Base directory where each model is stored.

• training_dirs (tuple[str]) – Directory where each model training data set is stored.

• predictions_dirs (tuple[str]) – Directory where each model samples predictions results files are stored.

• filename (str, default='testing_loss_convergence') – Figure name.

• save_dir (str, default=None) – Directory where figure is saved. If None, then figure is saved in current working directory.

• 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.