abacusai.embedding_feature_drift_distribution
=============================================

.. py:module:: abacusai.embedding_feature_drift_distribution


Classes
-------

.. autoapisummary::

   abacusai.embedding_feature_drift_distribution.AbstractApiClass
   abacusai.embedding_feature_drift_distribution.EmbeddingFeatureDriftDistribution


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

.. py:class:: AbstractApiClass(client, id)

   .. py:method:: __eq__(other)

      Return self==value.



   .. py:method:: _get_attribute_as_dict(attribute)


.. py:class:: EmbeddingFeatureDriftDistribution(client, distance=None, jsDistance=None, wsDistance=None, ksStatistic=None, psi=None, csi=None, chiSquare=None, averageDrift={})

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


   Feature distribution for embeddings

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param distance: Histogram data of KL divergences between the training distribution and the range of values in the specified window.
   :type distance: list
   :param jsDistance: Histogram data of JS divergence between the training distribution and the range of values in the specified window.
   :type jsDistance: list
   :param wsDistance: Histogram data of Wasserstein distance between the training distribution and the range of values in the specified window.
   :type wsDistance: list
   :param ksStatistic: Histogram data of Kolmogorov-Smirnov statistic computed between the training distribution and the range of values in the specified window.
   :type ksStatistic: list
   :param psi: Histogram data of Population stability index computed between the training distribution and the range of values in the specified window.
   :type psi: list
   :param csi: Histogram data of Characteristic Stability Index computed between the training distribution and the range of values in the specified window.
   :type csi: list
   :param chiSquare: Histogram data of Chi-square statistic computed between the training distribution and the range of values in the specified window.
   :type chiSquare: list
   :param averageDrift: Average drift embedding for each type of drift
   :type averageDrift: DriftTypesValue


   .. 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



