emmi_inference.examples.run_abupt
=================================

.. py:module:: emmi_inference.examples.run_abupt


Functions
---------

.. autoapisummary::

   emmi_inference.examples.run_abupt.plot_3d_comparison
   emmi_inference.examples.run_abupt.run_abupt


Module Contents
---------------

.. py:function:: plot_3d_comparison(positions, target_values, predicted_values, titles = ('Target', 'Predicted', 'Delta'), num_points = 10000, value_clamp = None, delta_clamp = None, figsize = (18, 6), view_init = (20, 125, 0), alpha = 0.5)

   Creates a 3-panel 3D scatter plot comparing target values, predicted values, and their delta.

   :param positions: The (N, 3) tensor of 3D point coordinates.
   :param target_values: The (N,) tensor of ground truth values.
   :param predicted_values: The (N,) tensor of predicted values.
   :param titles: A tuple of three strings for the subplot titles.
   :param num_points: Number of points to subsample for plotting.
   :param value_clamp: Optional (min, max) tuple to clamp target and predicted values.
   :param delta_clamp: Optional (min, max) tuple to clamp the delta values.
   :param figsize: Figure size in inches.
   :param view_init: The (elevation, azimuth, roll) camera angle for the 3D plots.
   :param alpha: The opacity of the scattered points.


.. py:function:: run_abupt()