code: def autompg_data():
      """Auto MPG dataset.
  
  
      Source : https://archive.ics.uci.edu/ml/datasets/Auto+MPG
      Number of samples : 392
      Continuous target variable : mpg
  
      Dataset Attributes:
  
          - 1) cylinders:  multi-valued discrete
          - 2) displacement: continuous
          - 3) horsepower: continuous
          - 4) weight: continuous
          - 5) acceleration: continuous
          - 6) model year: multi-valued discrete
          - 7) origin: multi-valued discrete
          - 8) car name: string (unique for each instance)
  
      Returns
      --------
      X, y : [n_samples, n_features], [n_targets]
          X is the feature matrix with 392 auto samples as rows
          and 8 feature columns (6 rows with NaNs removed).
          y is a 1-dimensional array of the target MPG values.
  
      Examples
      -----------
      For usage examples, please see
      https://rasbt.github.io/mlxtend/user_guide/data/autompg_data/
  
      """
      tmp = np.genfromtxt(fname=DATA_PATH, delimiter=",")
      X, y = tmp[:, :-1], tmp[:, -1]
      return X, y
  
label_desc: Use image node_id 1 for calling a global function with example usage: autompg_data() and returns: X,  y