:py:mod:`ForeTiS.model.es`
==========================

.. py:module:: ForeTiS.model.es


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

Classes
~~~~~~~

.. autoapisummary::

   ForeTiS.model.es.Es




.. py:class:: Es(optuna_trial, datasets, featureset_name, optimize_featureset, current_model_name = None, target_column = None, pca_transform = None)

   Bases: :py:obj:`ForeTiS.model._stat_model.StatModel`

   Implementation of a class for an Exponential Smoothing (ES) model.
   See :obj:`~ForeTiS.model._base_model.BaseModel` for more information on the attributes.

   .. py:method:: define_model()

      Definition of the actual prediction model.

      See :obj:`~ForeTiS.model._base_model.BaseModel` for more information.


   .. py:method:: define_hyperparams_to_tune()

      See :obj:`~ForeTiS.model._base_model.BaseModel` for more information on the format.