code: def train_context(epochs=3, validate=True, autosave=False):
      if validate not in [True, "True", False, "False"]:
          raise ValueError("'validate' should be True or False")
  
      if autosave not in [True, "True", False, "False"]:
          raise ValueError("'autosave' should be True or False")
  
      from serpent.machine_learning.context_classification.context_classifier import (
          ContextClassifier,
      )
  
      ContextClassifier.executable_train(
          epochs=int(epochs),
          validate=argv_is_true(validate),
          autosave=argv_is_true(autosave),
      )
  
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 30 for calling a global function with example usage: train_context(epochs, validate, autosave) without return types