ml_grid.model_classes.H2ODeepLearningClassifier
===============================================

.. py:module:: ml_grid.model_classes.H2ODeepLearningClassifier


Attributes
----------

.. autoapisummary::

   ml_grid.model_classes.H2ODeepLearningClassifier.PARAM_SPACE_GRID
   ml_grid.model_classes.H2ODeepLearningClassifier.PARAM_SPACE_BAYES


Classes
-------

.. autoapisummary::

   ml_grid.model_classes.H2ODeepLearningClassifier.H2ODeepLearningClassifier


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

.. py:data:: PARAM_SPACE_GRID

.. py:data:: PARAM_SPACE_BAYES

.. py:class:: H2ODeepLearningClassifier(hidden=None, hidden_config=None, parameter_space_size='small', **kwargs)

   Bases: :py:obj:`ml_grid.model_classes.H2OBaseClassifier.H2OBaseClassifier`


   Initializes the H2ODeepLearningClassifier.

   It allows specifying hidden layers either directly via 'hidden' or
   through a predefined configuration name 'hidden_config'.

   :param hidden: A list of integers specifying the number of
                  neurons for each hidden layer. Defaults to None.
   :type hidden: list, optional
   :param hidden_config: A string key ('small', 'medium', 'large')
                         to select a predefined hidden layer architecture. Defaults to None.
   :type hidden_config: str, optional
   :param \*\*kwargs: Additional keyword arguments passed to the H2ODeepLearningEstimator.


   .. py:attribute:: hidden
      :value: None



   .. py:attribute:: hidden_config
      :value: None



   .. py:attribute:: parameter_space_size
      :value: 'small'