code: def test_create_with_missing_value(self):
      data_dict = {}
      for col_name, col_type in zip(
          data.column_names(), data.column_types()
      ):
          data_dict[col_name] = tc.SArray([None], dtype=col_type)
      data_with_none = data.append(tc.SFrame(data_dict))
  
      with self.assertRaises(_ToolkitError):
          tc.image_classifier.create(
              data_with_none, feature=self.feature, target=self.target
          )
  
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 3 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_create_with_missing_value() without return types