class_docstr: A trained model that is ready to use for classification or export to CoreML.
  
  This model should not be constructed directly.
class_docstr_tok: ["A","trained","model","that","is","ready","to","use","for","classification","or","export","to","CoreML",".","This","model","should","not","be","constructed","directly","."]
docstr: Save the model as a dictionary, which can be loaded with the
  :py:func:`~turicreate.load_model` method.
docstr_tok: ["Save","the","model","as","a","dictionary",",","which","can","be","loaded","with","the",":","py",":","func",":","`","~turicreate.load_model","`","method","."]
code: def _get_native_state(self):
      """
      Save the model as a dictionary, which can be loaded with the
      :py:func:`~turicreate.load_model` method.
      """
      state = self.__proxy__.get_state()
      state["classifier"] = state["classifier"].__proxy__
      del state["feature_extractor"]
      del state["classes"]
      return state
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate
  import time
  from turicreate.toolkits._model import CustomModel
  import turicreate.toolkits._internal_utils
  from turicreate.toolkits import _coreml_utils
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._model import PythonProxy
  from turicreate._deps.minimal_package import _minimal_package_import_check
  from .._internal_utils import _mac_ver
  from ..None import _pre_trained_models
  from ..None import _image_feature_extractor
  from ..image_analysis import image_analysis
  from ._evaluation import Evaluation
label_desc: Use image node_id 4 for calling the ImageClassifier obj's underlying member method code with example usage: obj._get_native_state() and returns: state