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: Returns a string description of the model, including (where relevant)
  the schema of the training data, description of the training data,
  training statistics, and model hyperparameters.
  
  Returns
  -------
  out : string
      A description of the model.
docstr_tok: ["Returns","a","string","description","of","the","model",",","including","(","where","relevant",")","the","schema","of","the","training","data",",","description","of","the","training","data",",","training","statistics",",","and","model","hyperparameters",".","Returns","--","--","--","-","out",":","string","A","description","of","the","model","."]
code: def __repr__(self):
      """
      Returns a string description of the model, including (where relevant)
      the schema of the training data, description of the training data,
      training statistics, and model hyperparameters.
  
      Returns
      -------
      out : string
          A description of the model.
      """
  
      width = 40
      sections, section_titles = self._get_summary_struct()
      out = _tkutl._toolkit_repr_print(
          self, sections, section_titles, width=width
      )
      return out
  
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 4 for calling the DrawingClassifier obj's underlying member method code with example usage: obj.__repr__() and returns: out