ml_grid.model_classes.H2OGAMClassifier
======================================

.. py:module:: ml_grid.model_classes.H2OGAMClassifier


Attributes
----------

.. autoapisummary::

   ml_grid.model_classes.H2OGAMClassifier.logger


Classes
-------

.. autoapisummary::

   ml_grid.model_classes.H2OGAMClassifier.H2OGAMClassifier


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

.. py:data:: logger

.. py:class:: H2OGAMClassifier(_suppress_low_cardinality_error=True, **kwargs)

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


   Initializes the H2OGAMClassifier.

   :param _suppress_low_cardinality_error: If True, safely
                                           removes GAM columns with insufficient unique values to define
                                           knots. If False, raises a `ValueError`. Defaults to True.
   :type _suppress_low_cardinality_error: bool, optional
   :param \*\*kwargs: Additional keyword arguments passed directly to the
                      `H2OGeneralizedAdditiveEstimator`. Common arguments include
                      `family='binomial'`, `gam_columns=['feature1']`, etc.


   .. py:method:: get_params(deep: bool = True) -> Dict[str, Any]

      Gets parameters for this estimator, including the custom suppression flag.



   .. py:method:: fit(X: pandas.DataFrame, y: pandas.Series, **kwargs) -> H2OGAMClassifier

      Fits the H2O GAM model, falling back to GLM if necessary.



   .. py:method:: shutdown()

      Shuts down the H2O cluster using the base class's safe logic.