code: def _training_stats(self):
          
  
          opts = {'model': self.__proxy__, 'model_name': self.__name__}
          return _turicreate.extensions._nearest_neighbors.training_stats(opts)
docs: Return a dictionary of statistics collected during creation of the
          model. These statistics are also available with the ``get`` method and
          are described in more detail in that method's documentation.
  
          Returns
          -------
          out : dict
              Dictionary of statistics compiled during creation of the
              NearestNeighborsModel.
  
          See Also
          --------
          summary
  
          Examples
          --------
          >>> sf = turicreate.SFrame({'label': range(3),
          ...                       'feature1': [0.98, 0.62, 0.11],
          ...                       'feature2': [0.69, 0.58, 0.36]})
          >>> model = turicreate.nearest_neighbors.create(sf, 'label')
          >>> model.training_stats()
          {'features': 'feature1, feature2',
           'label': 'label',
           'leaf_size': 1000,
           'num_examples': 3,
           'num_features': 2,
           'num_variables': 2,
           'training_time': 0.023223,
           'tree_depth': 1}