``widget_openturns``
=======================================================

.. py:module:: optimeed.visualize.openturns.widget_openturns


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

Classes
~~~~~~~

.. autoapisummary::

   optimeed.visualize.openturns.widget_openturns.Widget_Metamodel_PC_Tuner
   optimeed.visualize.openturns.widget_openturns.Widget_Metamodel_PC_Monotonicity
   optimeed.visualize.openturns.widget_openturns.Widget_Collection_Metamodels




.. py:class:: Widget_Metamodel_PC_Tuner


   Bases: :py:obj:`PyQt5.QtWidgets.QWidget`

   Class to tune a OpenTURNS Polynomial Chaos fit.
   Provides an interface to interactively select fit degree and display information about its quality

   .. py:method:: _copy_metamodel()


   .. py:method:: set_metamodel_PC(theMetamodel_PC)

      Set metamodel to fit

      :param theMetamodel_PC: Metamodel_PC_Openturns


   .. py:method:: do_fit()


   .. py:method:: update()



.. py:class:: Widget_Metamodel_PC_Monotonicity


   Bases: :py:obj:`PyQt5.QtWidgets.QWidget`

   Provides an interface to visualize the impact of a single parameter.
   The other parameters are frozen using their central point.

   .. py:method:: set_metamodel_PC(theMetamodel_PC, objectiveName)


   .. py:method:: _generate_points(name_selected, N=100)

      Generate points along variant selected attribute, with others fixed


   .. py:method:: update_graphs()



.. py:class:: Widget_Collection_Metamodels(collection_metamodels)


   Bases: :py:obj:`PyQt5.QtWidgets.QWidget`

   Higher level widget to tune :class:`optimeed.consolidate.OpenTURNS_interface.name_collection`.

   Embeds the underlying Widget_Metamodel_PC_Tuner and Widget_Metamodel_PC_Monotonicity.

   .. py:method:: update_available_attributes()


   .. py:method:: update_tune_window()


   .. py:method:: update_monotonicity_windows()