code: def test_predict_topk(self):
      model = self.model
      for output_type in ["margin", "probability", "rank"]:
          preds = model.predict_topk(
              self.sf.head(), output_type=output_type
          )
          self.assertEqual(len(preds), 3 * len(self.sf.head()))
  
          preds = model.predict_topk(
              self.sf.head(), k=5, output_type=output_type
          )
          self.assertEqual(len(preds), 5 * len(self.sf.head()))
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import sys
  import unittest
  import turicreate
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver, _raise_error_if_not_sframe, _raise_error_if_not_sarray
  import tempfile
  import shutil
  import pytest
  import coremltools
  import platform
label_desc: Use image node_id 13 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_predict_topk() without return types