.. _Build NeurEco Discrete Dynamic model with GUI:

Build NeurEco Discrete Dynamic model with GUI
==============================================

* Fill in the **Settings** tab, the build parameters are explained in the table below:

  .. figure:: ../../../images/GUIDiscreteDynamicSettingsToFill.png
    :width: 700
    :alt: Settings to build a Discrete Dynamic model
    :align: center

    Settings to build a Discrete Dynamic model

* Press **Build** button

* Once the **Build** started, the **Training**, **Evaluation**, **Metrics** and **Export** panels become available. The moment the first model is saved to the checkpoint, these panels can be used as usual. 

    
.. _NeurEco Discrete Dynamic build parameters GUI:

Build parameters 
----------------

.. csv-table:: Minimum Settings to build a Discrete Dynamic model
   :file: csv_tables/SettingsBuildDiscreteDynamicGUI.csv
   :header-rows: 1
   :class: longtable
   :widths: 4, 7
   :delim: ;
   :align: center

.. _NeurEco Discrete Dynamic advanced parameters GUI:

Advanced parameters
-------------------

.. csv-table:: Advanced Settings to build a Discrete Dynamic model
   :file: csv_tables/AdvancedSettingsBuildDiscreteDynamicGUI.csv
   :header-rows: 1
   :class: longtable
   :widths: 4, 7
   :delim: ;
   :align: center   
   
.. _Data normalization for Discrete Dynamic GUI:

Data normalization for Discrete Dynamic
-----------------------------------------------

Set **normalize per feature** to True if trying to fit the features of different natures (temperature and pressure for example) and want to give them equivalent importance.

Set **normalize per feature** to False if trying to fit the features of the same nature (a set of temperatures for example) or a field.

If neither of provided normalization options suits the problem, normalize the data your own way prior to feeding them to NeurEco (and deactivate normalization by setting the **scale** and **shift** to **none**).

.. include:: ../CommonPartsDynamic/NormalizationDynamic.rst


.. _Control the size of the NeurEco Discrete Dynamic model during Build:

Control the size of the NeurEco Discrete Dynamic model during Build 
------------------------------------------------------------------------ 

.. include:: ../CommonPartsDynamic/ControlSizeIntro.rst

Imposing the maximum number of hidden states, by setting the parameter **max hidden states** in **Advanced settings**, can decrease the size of the constructed model. That is what one is looking for when seeking a trade-off between accuracy and augmenting the embeddability of the model even more.

See :std:ref:`Advanced build for Discrete Dynamic` tutorial for an example of usage.