.. _ptmelt.utils:

PT-MELT Utilities Subpackage
============================

This package contains utility functions for data processing, evaluation, visualization,
and other common tasks in machine learning. The subpackage is organized into the
following modules:

- :ref:`Evaluation Module <ptmelt.utils.evaluation>`: Functions for evaluating model
  performance. Includes functions for making predictions for standard and ensemble
  models.

- :ref:`Preprocessing Module <ptmelt.utils.preprocessing>`: Functions for data
  preprocessing. Includes functions for normalizing data built on `Scikit-learn`
  normalizers.

- :ref:`Statistics Module <ptmelt.utils.statistics>`: Functions for computing statistics
  on data. Includes functions for computing metrics for uncertainty quantification.

- :ref:`Visualization Module <ptmelt.utils.visualization>`: Functions for visualizing
  data. Includes functions for plotting data, model predictions, and uncertainty
  metrics.


.. _ptmelt.utils.evaluation:

Evaluation Module
-----------------

.. automodule:: ptmelt.utils.evaluation
   :members:
   :undoc-members:
   :show-inheritance:

.. _ptmelt.utils.preprocessing:

Preprocessing Module
--------------------

.. automodule:: ptmelt.utils.preprocessing
   :members:
   :undoc-members:
   :show-inheritance:

.. _ptmelt.utils.statistics:

Statistics Module
-----------------

.. automodule:: ptmelt.utils.statistics
   :members:
   :undoc-members:
   :show-inheritance:

.. _ptmelt.utils.visualization:

Visualization Module
--------------------


.. automodule:: ptmelt.utils.visualization
   :members:
   :undoc-members:
   :show-inheritance:
..    :exclude-members: plot_interval_width_vs_value, plot_qq, plot_residuals_vs_value,
                     plot_uncertainty_calibration, plot_uncertainty_distribution,
                     point_cloud_plot, point_cloud_plot_with_uncertainty