:py:mod:`abacusai.pipeline_reference`
=====================================

.. py:module:: abacusai.pipeline_reference


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

Classes
~~~~~~~

.. autoapisummary::

   abacusai.pipeline_reference.PipelineReference




.. py:class:: PipelineReference(client, pipelineReferenceId=None, pipelineId=None, objectType=None, datasetId=None, modelId=None, deploymentId=None, batchPredictionDescriptionId=None, modelMonitorId=None, notebookId=None, featureGroupId=None)

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

   A reference to a pipeline to the objects it is run on.

   :param client: An authenticated API Client instance
   :type client: ApiClient
   :param pipelineReferenceId: The id of the reference.
   :type pipelineReferenceId: str
   :param pipelineId: The id of the pipeline for the reference.
   :type pipelineId: str
   :param objectType: The object type of the reference.
   :type objectType: str
   :param datasetId: The dataset id of the reference.
   :type datasetId: str
   :param modelId: The model id of the reference.
   :type modelId: str
   :param deploymentId: The deployment id of the reference.
   :type deploymentId: str
   :param batchPredictionDescriptionId: The batch prediction description id of the reference.
   :type batchPredictionDescriptionId: str
   :param modelMonitorId: The model monitor id of the reference.
   :type modelMonitorId: str
   :param notebookId: The notebook id of the reference.
   :type notebookId: str
   :param featureGroupId: The feature group id of the reference.
   :type featureGroupId: str

   .. 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



