code: def load_data():
      TRAIN_DATA_URL = (
          "https://storage.googleapis.com/tf-datasets/titanic/train.csv"
      )
      TEST_DATA_URL = (
          "https://storage.googleapis.com/tf-datasets/titanic/eval.csv"
      )
      x_train = tf.keras.utils.get_file(
          "titanic_train.csv", TRAIN_DATA_URL
      )
      x_test = tf.keras.utils.get_file(
          "titanic_eval.csv", TEST_DATA_URL
      )
  
      return (x_train, "survived"), (x_test, "survived")
  
imports: import numpy
  import pandas
  import sklearn
  import tensorflow
  import autokeras
  from benchmark.experiments import experiment
label_desc: Use image node_id 2 for calling the Titanic obj's underlying member method code with example usage: obj.load_data() and returns: x_train,  str,  x_test,  str