code: def test_missing_output_col_in_column_descriptions():
      np.random.seed(0)
  
      (
          df_titanic_train,
          df_titanic_test,
      ) = utils.get_titanic_binary_classification_dataset()
  
      column_descriptions = {
          # 'survived': 'output'
          "sex": "categorical",
          "embarked": "categorical",
          "pclass": "categorical",
      }
  
      ml_predictor = Predictor(
          type_of_estimator="classifier",
          column_descriptions=column_descriptions,
      )
  
file_path: auto_ml/tests/core_tests/user_logging_tests.py
imports: import datetime
  import dill
  from nose.tools import raises
  import numpy
  import os
  import random
  import sys
  import warnings
  from auto_ml import Predictor
  import utils_testing
label_desc: Use image node_id 2 for calling a global function with example usage: test_missing_output_col_in_column_descriptions() without return types