class_docstr: A trained model using C++ implementation that is ready to use for classification or export to
  CoreML.
  
  This model should not be constructed directly.
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")
      """
      additional_user_defined_metadata = (
          _coreml_utils._get_tc_version_info()
      )
      short_description = _coreml_utils._mlmodel_short_description(
          "Drawing Classifier"
      )
      self.__proxy__.export_to_coreml(
          filename, short_description, additional_user_defined_metadata
      )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  from turicreate.toolkits import _coreml_utils
  from turicreate.toolkits._model import Model
  import turicreate.toolkits._internal_utils
  from turicreate.toolkits._main import ToolkitError
  from turicreate._deps.minimal_package import _minimal_package_import_check
  from ..image_classifier._evaluation import Evaluation
  from ..None import _pre_trained_models
label_desc: Use image node_id 6 for calling the DrawingClassifier obj's underlying member method code with example usage: obj.export_coreml(filename) without return types