gaussian.extensions
===================

.. py:module:: gaussian.extensions

.. autoapi-nested-parse::

   A complete extension example. The framework, experiment and trainer are unchanged.

   Select it in settings_analysis.py: "analysis": "gaussian.extensions:ExtendedAnalysis", and add
   "median_absolute_bias" and "parameter_count" to "metrics" and "observation_histogram" to "plots".



Classes
-------

.. autoapisummary::

   gaussian.extensions.ExtendedAnalysis


Functions
---------

.. autoapisummary::

   gaussian.extensions.median_absolute_bias
   gaussian.extensions.parameter_count
   gaussian.extensions.observation_histogram


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

.. py:function:: median_absolute_bias(context, dependencies)

.. py:function:: parameter_count(context, dependencies)

.. py:function:: observation_histogram(context, dependencies)

.. py:class:: ExtendedAnalysis

   Bases: :py:obj:`gaussian.analysis.GaussianAnalysis`


   What is computed from trained models: shared datasets, metrics and plots. Never trains.

   Selected by "analysis" in the analysis settings. "training" and "model" are the
   reserved datasets every product, metric and plot may depend on.


   .. py:method:: metrics()


   .. py:method:: plots()