:py:mod:`abacusai.feature_drift_record`
=======================================

.. py:module:: abacusai.feature_drift_record


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

Classes
~~~~~~~

.. autoapisummary::

   abacusai.feature_drift_record.FeatureDriftRecord




.. py:class:: FeatureDriftRecord(client, name=None, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None)

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

   Value of each type of drift

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param name: Name of feature.
   :type name: str
   :param distance: Symmetric sum of KL divergences between the training distribution and the range of values in the specified window.
   :type distance: float
   :param jsDistance: JS divergence between the training distribution and the range of values in the specified window.
   :type jsDistance: float
   :param wsDistance: Wasserstein distance between the training distribution and the range of values in the specified window.
   :type wsDistance: float
   :param ksStatistic: Kolmogorov-Smirnov statistic computed between the training distribution and the range of values in the specified window.
   :type ksStatistic: float

   .. 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



