GaussianProcess
===============

.. currentmodule:: pyapprox.surrogates

.. autoclass:: GaussianProcess
   :show-inheritance:

   .. rubric:: Methods Summary

   .. autosummary::

      ~GaussianProcess.__call__
      ~GaussianProcess.condition_number
      ~GaussianProcess.fit
      ~GaussianProcess.get_training_samples
      ~GaussianProcess.map_from_canonical
      ~GaussianProcess.map_to_canonical
      ~GaussianProcess.num_training_samples
      ~GaussianProcess.plot_1d
      ~GaussianProcess.predict_random_realization
      ~GaussianProcess.set_variable_transformation

   .. rubric:: Methods Documentation

   .. automethod:: __call__
   .. automethod:: condition_number
   .. automethod:: fit
   .. automethod:: get_training_samples
   .. automethod:: map_from_canonical
   .. automethod:: map_to_canonical
   .. automethod:: num_training_samples
   .. automethod:: plot_1d
   .. automethod:: predict_random_realization
   .. automethod:: set_variable_transformation