:mod:`summit.multiview_platform.multiview_classifiers.early_fusion_gradient_boosting`
=====================================================================================

.. py:module:: summit.multiview_platform.multiview_classifiers.early_fusion_gradient_boosting


early_fusion_gradient_boosting
------------------------------


.. py:data:: classifier_class_name
   :annotation: = EarlyFusionGB

   

.. py:class:: EarlyFusionGB(random_state=None, loss='exponential', max_depth=1.0, n_estimators=100, init=CustomDecisionTreeGB(max_depth=1), **kwargs)



   BaseMultiviewClassifier base of Multiview classifiers

   :param random_state: The seed of the pseudo random number multiview_generator to use when
                        shuffling the data.
   :type random_state: int seed, RandomState instance, or None (default=None)


