code: def test_predict(self):
      model = self.model
      for output_type in ["class", "probability_vector"]:
          preds = model.predict(data.head(), output_type=output_type)
          _raise_error_if_not_sarray(preds)
          self.assertEqual(len(preds), len(data.head()))
          if output_type == "class":
              self.assertTrue(all(preds[:5] == "white"))
              self.assertTrue(all(preds[5:] == "black"))
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import platform
  import sys
  import tempfile
  import unittest
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver, _raise_error_if_not_sframe, _raise_error_if_not_sarray
  from turicreate.toolkits.image_analysis.image_analysis import MODEL_TO_FEATURE_SIZE_MAPPING, get_deep_features
  from .None import util
  import numpy
  import turicreate
label_desc: Use image node_id 8 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_predict() without return types