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.
class_docstr_tok: ["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 structured description of the model, including (where
  relevant) the schema of the training data, description of the training
  data, training statistics, and model hyperparameters.
  
  Returns
  -------
  sections : list (of list of tuples)
      A list of summary sections.
        Each section is a list.
          Each item in a section list is a tuple of the form:
            ('<label>','<field>')
  section_titles: list
      A list of section titles.
        The order matches that of the 'sections' object.
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code: def _get_summary_struct(self):
      """
      Returns a structured description of the model, including (where
      relevant) the schema of the training data, description of the training
      data, training statistics, and model hyperparameters.
  
      Returns
      -------
      sections : list (of list of tuples)
          A list of summary sections.
            Each section is a list.
              Each item in a section list is a tuple of the form:
                ('<label>','<field>')
      section_titles: list
          A list of section titles.
            The order matches that of the 'sections' object.
      """
      model_fields = [
          ("Model", "model"),
          ("Number of unique styles", "num_styles"),
      ]
  
      training_fields = [
          ("Training time", "_training_time_as_string"),
          ("Training epochs", "training_epochs"),
          ("Training iterations", "training_iterations"),
          ("Number of style images", "num_styles"),
          ("Number of content images", "num_content_images"),
          ("Final loss", "training_loss"),
      ]
  
      section_titles = ["Schema", "Training summary"]
      return ([model_fields, training_fields], section_titles)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import turicreate.toolkits._internal_utils
  from turicreate.toolkits import _coreml_utils
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sframe
  from turicreate._deps.minimal_package import _minimal_package_import_check
  from ..None import _pre_trained_models
  from turicreate.toolkits._model import Model
  from turicreate.toolkits._main import ToolkitError
  import turicreate
  from .._mps_utils import MpsStyleGraphAPI
label_desc: Use image node_id 9 for calling the StyleTransfer obj's underlying member method code with example usage: obj._get_summary_struct() and returns: list,  section_titles