:py:mod:`abacusai.drift_distributions`
======================================

.. py:module:: abacusai.drift_distributions


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

Classes
~~~~~~~

.. autoapisummary::

   abacusai.drift_distributions.DriftDistributions




.. py:class:: DriftDistributions(client, labelDrift={}, predictionDrift={})


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

   For either actuals or predicted values, how it has changed in the training data versus some specified window

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param labelDrift: A DriftDistribution describing column names and the range of values for label drift.
   :type labelDrift: DriftDistribution
   :param predictionDrift: A DriftDistribution describing column names and the range of values for prediction drift.
   :type predictionDrift: DriftDistribution

   .. 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



