.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/inference/info_model_selection/pfn_models.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_inference_info_model_selection_pfn_models.py>`
        to download the full example code or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_inference_info_model_selection_pfn_models.py:


Auxiliary file
==============================================

.. GENERATED FROM PYTHON SOURCE LINES 7-27

.. code-block:: default

    import numpy as np

    domain = np.linspace(0, 10, 50)


    def model_quadratic(theta):
        # this one takes one parameter vector theta and return one qoi
        inpt = np.array(theta).reshape((-1,))
        return inpt[0] * domain + inpt[1] * domain ** 2


    def model_linear(theta):
        # this one takes one parameter vector theta and return one qoi
        inpt = np.array(theta).reshape((-1,))
        return inpt[0] * domain


    def model_cubic(theta):
        # this one takes one parameter vector theta and return one qoi
        inpt = np.array(theta).reshape((-1,))
        return inpt[0] * domain + inpt[1] * domain ** 2 + inpt[2] * domain ** 3

.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_inference_info_model_selection_pfn_models.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/SURGroup/UQpy/master?urlpath=lab/tree/notebooks/auto_examples/inference/info_model_selection/pfn_models.ipynb
        :alt: Launch binder
        :width: 150 px



    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: pfn_models.py <pfn_models.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: pfn_models.ipynb <pfn_models.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_