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: Get the number of users observed for each item.
  
  Returns
  -------
  out : SFrame
      An SFrame with a column containing each observed item and another column
      containing the corresponding number of items observed during training.
  
  Examples
  --------
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code: def get_num_users_per_item(self):
      """
      Get the number of users observed for each item.
  
      Returns
      -------
      out : SFrame
          An SFrame with a column containing each observed item and another column
          containing the corresponding number of items observed during training.
  
      Examples
      --------
  
      """
  
      response = self.__proxy__.get_num_users_per_item()
      return response
  
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 5 for calling the _Recommender obj's underlying member method code with example usage: obj.get_num_users_per_item() and returns: response