hookeai.model_architectures.procedures.convergence_plots.plot_best_parameters_convergence_uq

plot_best_parameters_convergence_uq(models_base_dirs, training_dirs, filename='best_parameters_convergence_uq', save_dir=None, is_save_fig=False, is_stdout_display=False, is_latex=True)[source]

Plot best state parameters versus training data set size.

Uncertainty quantification data accounting for different model samples for each training data set size is required. The corresponding directory named ‘uncertainty_quantification’ should exist in each model base directory.

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.

  • filename (str, default='best_parameters_convergence_uq') – 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_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.