code: def APE(actual, pred):
      """
      Calculate absolute percentage error.
      Returns a vector of APE values with same length as actual/pred.
      """
      return 100 * np.abs((actual - pred) / actual)
  
file_path: MachineLearningNotebooks/how-to-use-azureml/automated-machine-learning/forecasting-github-dau/infer.py
imports: import argparse
  import os
  import numpy
  import pandas
  import joblib
  from sklearn.metrics import mean_absolute_error, mean_squared_error
  from azureml.automl.runtime.shared.score import scoring, constants
  from azureml.core import Run
label_desc: Use image node_id 2 for calling a global function with example usage: APE(actual, pred) and returns: unknown