code: def test_save_and_load(self):
      with TempDirectory() as filename:
          self.model.save(filename)
          new_model = tc.load_model(filename)
  
      self.assertEqual(self.model.feature, new_model.feature)
  
      old_model_probs = self.model.predict(
          self.data["audio"], output_type="probability_vector"
      )
      new_model_probs = new_model.predict(
          self.data["audio"], output_type="probability_vector"
      )
      for a, b in zip(old_model_probs, new_model_probs):
          np.testing.assert_array_almost_equal(a, b, decimal=6)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .util import TempDirectory
  from copy import copy
  import math
  from os import mkdir
  import unittest
  import pytest
  import numpy
  import sys
  import turicreate
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sarray
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver
label_desc: Use image node_id 6 for calling the ClassifierTestTwoClassesStringLabels obj's underlying member method code with example usage: obj.test_save_and_load() without return types