:py:mod:`abacusai.embedding_feature_drift_distribution`
=======================================================

.. py:module:: abacusai.embedding_feature_drift_distribution


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

Classes
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.. autoapisummary::

   abacusai.embedding_feature_drift_distribution.EmbeddingFeatureDriftDistribution




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

   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

   .. 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



