:py:mod:`abacusai.drift_distribution`
=====================================

.. py:module:: abacusai.drift_distribution


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

Classes
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.. autoapisummary::

   abacusai.drift_distribution.DriftDistribution




.. py:class:: DriftDistribution(client, trainColumn=None, predictedColumn=None, metrics=None, distribution={})

   Bases: :py:obj:`abacusai.return_class.AbstractApiClass`

   How actuals or predicted values have changed in the training data versus predicted data

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param trainColumn: The feature name in the train table.
   :type trainColumn: str
   :param predictedColumn: The feature name in the prediction table.
   :type predictedColumn: str
   :param metrics: Drift measures.
   :type metrics: dict
   :param distribution: A FeatureDistribution, how the training data compares to the predicted data.
   :type distribution: FeatureDistribution

   .. py:method:: __repr__()

      Return repr(self).


   .. py:method:: to_dict()

      Get a dict representation of the parameters in this class

      :returns: The dict value representation of the class parameters
      :rtype: dict



