code: def scale_data(self, train_data, test_data):
      max_speed = train_data.max()
      min_speed = train_data.min()
      train_scaled = (train_data - min_speed) / (max_speed - min_speed)
      test_scaled = (test_data - min_speed) / (max_speed - min_speed)
      return train_scaled, test_scaled
  
imports: from .dataset_loader import DatasetLoader
  from ..core.graph import StellarGraph, StellarDiGraph
  import itertools
  import logging
  import os
  import pandas
  import numpy
  from sklearn import preprocessing
  from ..core.experimental import experimental
label_desc: Use image node_id 3 for calling the METR_LA obj's underlying member method code with example usage: obj.scale_data(train_data, test_data) and returns: train_scaled,  test_scaled