gaussian.evaluation
===================

.. py:module:: gaussian.evaluation

.. autoapi-nested-parse::

   Reusable observation ensembles, candidate measures and model inference datasets.



Functions
---------

.. autoapisummary::

   gaussian.evaluation.unit_sobol
   gaussian.evaluation.cartesian
   gaussian.evaluation.truth_settings
   gaussian.evaluation.candidate_settings
   gaussian.evaluation.inference_settings
   gaussian.evaluation.sobol_truth_count
   gaussian.evaluation.truth_layout
   gaussian.evaluation.inference_observations
   gaussian.evaluation.candidate_layout
   gaussian.evaluation.candidates
   gaussian.evaluation.inference


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

.. py:function:: unit_sobol(count, dimension, seed)

   Use a base-two draw then truncate; non-power-of-two counts are explicitly allowed.


.. py:function:: cartesian(axes)

   Caller checks the product size before allocating.


.. py:function:: truth_settings(context)

.. py:function:: candidate_settings(context)

.. py:function:: inference_settings(context)

.. py:function:: sobol_truth_count(problem, settings)

   sobol_truths at one inferred parameter, doubling with each additional parameter.


.. py:function:: truth_layout(problem, settings)

   Return the actual truth design and count; size_adaptive switches to Sobol above max_grid_truths.


.. py:function:: inference_observations(context, dependencies, writer)

.. py:function:: candidate_layout(problem, prior, settings)

.. py:function:: candidates(context, dependencies, writer)

.. py:function:: inference(context, dependencies, writer)