parameters: (self, filename)
docstring: 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")
docstring_summary: Export the model in Core ML format.
docstring_tokens: Export the model in Core ML format .
function: 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")
          """
          from turicreate.toolkits import _coreml_utils
  
          display_name = "decision tree classifier"
          short_description = _coreml_utils._mlmodel_short_description(display_name)
          context = {
              "mode": "classification",
              "model_type": "decision_tree",
              "class": self.__class__.__name__,
              "short_description": short_description,
          }
  
          self._export_coreml_impl(filename, context)
function_tokens: def export_coreml ( self , filename ) : from turicreate . toolkits import _coreml_utils display_name = "decision tree classifier" short_description = _coreml_utils . _mlmodel_short_description ( display_name ) context = { "mode" : "classification" , "model_type" : "decision_tree" , "class" : self . __class__ . __name__ , "short_description" : short_description , } self . _export_coreml_impl ( filename , context )