code: def run(raw_data):
      data = np.array(json.loads(raw_data)["data"])
      # make prediction
      y_hat = model.predict(data)
      # you can return any data type as long as it is JSON-serializable
      return y_hat.tolist()
  
imports: import json
  import numpy
  import os
  import joblib
label_desc: Use image node_id 2 for calling a global function with example usage: run(raw_data) and returns: y_hat