ml_grid.model_classes.H2OXGBoostClassifier
==========================================

.. py:module:: ml_grid.model_classes.H2OXGBoostClassifier

.. autoapi-nested-parse::

   H2O XGBoost Classifier Wrapper.

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



Classes
-------

.. autoapisummary::

   ml_grid.model_classes.H2OXGBoostClassifier.H2OXGBoostClassifier


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

.. py:class:: H2OXGBoostClassifier(**kwargs)

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


   Initializes the H2OXGBoostClassifier.

   All keyword arguments are passed directly to the H2OXGBoostEstimator.
   Example args: ntrees=50, max_depth=5