code: def test_select_correct_feature_column_to_train(self):
      # sending both, the correct extracted features colum and image column
      if self.feature == "awesome_image":
          test_data = data.select_columns([self.feature, self.target])
          deep_features_col_name = (
              self.pre_trained_model + "_WithDeepFeature"
          )
          test_data[deep_features_col_name] = get_deep_features(
              data["awesome_image"], self.pre_trained_model
          )
          test_model = tc.image_classifier.create(
              test_data,
              target=self.target,
              model=self.pre_trained_model,
          )
          self.assertTrue(test_model.feature == deep_features_col_name)
  
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 7 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_select_correct_feature_column_to_train() without return types