class_docstr: The abstract class for Turi Create recommender system models. This class
  defines methods common to all recommender system models, but leaves unique
  model details to separate model classes.
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docstr: Returns a string description of the model, including (where relevant)
  the schema of the training data, description of the training data,
  training statistics, and model hyperparameters.
  
  Returns
  -------
  out : string
      A description of the model.
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code: def __repr__(self):
      """
      Returns a string description of the model, including (where relevant)
      the schema of the training data, description of the training data,
      training statistics, and model hyperparameters.
  
      Returns
      -------
      out : string
          A description of the model.
      """
  
      (sections, section_titles) = self._get_summary_struct()
      return _toolkit_repr_print(
          self, sections, section_titles, width=32
      )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  import random
  import array
  import logging
  import time
  import six
  from turicreate.toolkits import _coreml_utils
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._model import Model
  from turicreate.toolkits._internal_utils import _toolkit_repr_print, _precomputed_field
  import turicreate.aggregate
  from turicreate.data_structures.sarray import SArray
  from turicreate.data_structures.sframe import SFrame
  from turicreate._deps import numpy, HAS_NUMPY
label_desc: Use image node_id 8 for calling the _Recommender obj's underlying member method code with example usage: obj.__repr__() and returns: _toolkit_repr_print