autolens.plot.subplot_sensitivity_figures_of_merit#

subplot_sensitivity_figures_of_merit(result, output_path=None, output_format=None, colormap=None, use_log_evidences=True, remove_zeros=True)#

Produce a single-panel subplot showing the sensitivity figures-of-merit grid.

Extracts the 2-D array of figures of merit (either log-evidence or log-likelihood increases) from the sensitivity-mapping result and renders it as a single image. This is the compact version of the sensitivity diagnostic; see subplot_sensitivity for the full multi-panel version.

Parameters:

  • result (SensitivityResult) – A sensitivity-mapping result object exposing figure_of_merit_array.

  • output_path (Optional[str]) – Directory in which to save the figure. If None the figure is not saved to disk.

  • output_format (str) – Image format passed to save_figure.

  • colormap (Optional[str]) – Matplotlib colormap name.

  • use_log_evidences (bool) – If True (default) the log-evidence increase is used as the figure of merit; otherwise the log-likelihood increase is used.

  • remove_zeros (bool) – If True (default) grid positions where the figure of merit is exactly zero are masked out before plotting.