code: def test_model(self):
      model = tc.sound_classifier.create(
          self.data, "labels", feature="audio", validation_set=self.data
      )
  
      # A prediction for a clip which is too short should be None
      predictions = model.predict(self.data)
      self.assertEqual(len(predictions), len(self.data))
      self.assertEqual(predictions[-1], None)
      for l in predictions[:-1]:
          self.assertNotEqual(l, None)
  
      predictions = model.predict(
          self.data, output_type="probability_vector"
      )
      self.assertEqual(predictions[-1], None)
      for l in predictions[:-1]:
          self.assertNotEqual(l, None)
  
      evaluate_results = model.evaluate(self.data)
      self.assertIsNotNone(evaluate_results)
  
      classify_results = model.classify(self.data)
      self.assertEqual(
          classify_results[-1], {"class": None, "probability": None}
      )
      for i in classify_results[:-1]:
          self.assertNotEqual(i["class"], None)
          self.assertNotEqual(i["probability"], None)
  
      topk_results = model.predict_topk(self.data)
      self.assertEqual(topk_results[-1]["class"], None)
      self.assertEqual(topk_results[-1]["probability"], None)
      for r in topk_results[:-1]:
          self.assertNotEqual(r["class"], None)
          self.assertNotEqual(r["probability"], None)
  
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 3 for calling the ClassifierTestWithShortClip obj's underlying member method code with example usage: obj.test_model() without return types