.. _example_gaussian_process_plot_gpr_prior_posterior.py:


==========================================================================
Illustration of prior and posterior Gaussian process for different kernels
==========================================================================

This example illustrates the prior and posterior of a GPR with different
kernels. Mean, standard deviation, and 10 samples are shown for both prior
and posterior.



.. rst-class:: horizontal


    *

      .. image:: images/plot_gpr_prior_posterior_000.png
            :scale: 47

    *

      .. image:: images/plot_gpr_prior_posterior_001.png
            :scale: 47

    *

      .. image:: images/plot_gpr_prior_posterior_002.png
            :scale: 47

    *

      .. image:: images/plot_gpr_prior_posterior_003.png
            :scale: 47

    *

      .. image:: images/plot_gpr_prior_posterior_004.png
            :scale: 47




**Python source code:** :download:`plot_gpr_prior_posterior.py <plot_gpr_prior_posterior.py>`

.. literalinclude:: plot_gpr_prior_posterior.py
    :lines: 10-

**Total running time of the example:**  1.31 seconds
( 0 minutes  1.31 seconds)