ml_grid.model_classes.H2ORuleFitClassifier
==========================================

.. py:module:: ml_grid.model_classes.H2ORuleFitClassifier

.. autoapi-nested-parse::

   H2O RuleFit Classifier Wrapper.

   This module provides a scikit-learn compatible wrapper for H2O's RuleFitEstimator.



Classes
-------

.. autoapisummary::

   ml_grid.model_classes.H2ORuleFitClassifier.H2ORuleFitClassifier


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

.. py:class:: H2ORuleFitClassifier(**kwargs)

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


   Initializes the H2ORuleFitClassifier.

   :param \*\*kwargs: Keyword arguments passed directly to the
                      `H2ORuleFitEstimator`. Common arguments include
                      `max_rule_length=3` and `model_type='rules_and_linear'`.