code: def init():
      global iris_model
  
      logger = EntryScript().logger
      logger.info("init() is called.")
  
      parser = argparse.ArgumentParser(description="Iris model serving")
      parser.add_argument(
          "--model_name", dest="model_name", required=True
      )
      args, unknown_args = parser.parse_known_args()
  
      model_path = Model.get_model_path(args.model_name)
      with open(model_path, "rb") as model_file:
          iris_model = pickle.load(model_file)
  
file_path: MachineLearningNotebooks/how-to-use-azureml/machine-learning-pipelines/parallel-run/Code/iris_score.py
imports: import io
  import pickle
  import argparse
  import numpy
  from azureml.core.model import Model
  from sklearn.linear_model import LogisticRegression
  from azureml_user.parallel_run import EntryScript
label_desc: Use image node_id 1 for calling a global function with example usage: init() without return types