code: def train_object(name, algorithm, *classes):
      from serpent.machine_learning.object_recognition.object_recognizer import (
          ObjectRecognizer,
          ObjectRecognizers,
      )
  
      backend = "luminoth"
  
      backend_mapping = {"luminoth": ObjectRecognizers.LUMINOTH}
  
      object_recognizer = ObjectRecognizer(
          name,
          backend=backend_mapping[backend],
          algorithm=algorithm,
          classes=classes,
      )
  
      import signal
  
      signal.signal(signal.SIGINT, object_recognizer.on_interrupt)
  
      object_recognizer.train()
  
imports: import os
  import sys
  import shutil
  import subprocess
  import shlex
  import time
  import offshoot
  from serpent.utilities import clear_terminal, display_serpent_logo, is_linux, is_windows, wait_for_crossbar
  from serpent.window_controller import WindowController
label_desc: Use image node_id 31 for calling a global function with example usage: train_object(name, algorithm) without return types