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.
class_docstr_tok: ["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","."]
docstr: Export the model in Core ML format.
  
  Parameters
  ----------
  filename: str
    A valid filename where the model can be saved.
  
  Examples
  --------
  >>> model.export_coreml('myModel.mlmodel')
docstr_tok: ["Export","the","model","in","Core","ML","format",".","Parameters","--","--","--","--","--","filename",":","str","A","valid","filename","where","the","model","can","be","saved",".","Examples","--","--","--","--",">",">",">","model.export_coreml","(","'myModel.mlmodel","'",")"]
code: def export_coreml(self, filename):
      """
      Export the model in Core ML format.
  
      Parameters
      ----------
      filename: str
        A valid filename where the model can be saved.
  
      Examples
      --------
      >>> model.export_coreml('myModel.mlmodel')
      """
      print(
          "This model is exported as a custom Core ML model. In order to use it in your\n"
          'application, you must also include "libRecommender.dylib". For additional\n'
          "details see:\n"
          "https://apple.github.io/turicreate/docs/userguide/recommender/coreml-deployment.html"
      )
  
      additional_user_defined_metadata = (
          _coreml_utils._get_tc_version_info()
      )
      self.__proxy__.export_to_coreml(
          filename, additional_user_defined_metadata
      )
  
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 23 for calling the _Recommender obj's underlying member method code with example usage: obj.export_coreml(filename) without return types