code: def test_advanced_callbacks():
      X_train, Y_train, X_test, Y_test = data()
      best_run, best_model = optim.minimize(
          model=create_model,
          data=data,
          algo=tpe.suggest,
          max_evals=1,
          trials=Trials(),
          verbose=False,
      )
  
file_path: hyperas/tests/test_lr_plateau.py
imports: from __future__ import print_function
  from hyperopt import Trials, STATUS_OK, tpe
  from hyperas import optim
  from hyperas.distributions import choice
  from keras.models import Sequential
  from keras.layers import Dense, Activation
  from keras.datasets import mnist
  from keras.utils import np_utils
  from keras.callbacks import ReduceLROnPlateau, EarlyStopping
label_desc: Use image node_id 3 for calling a global function with example usage: test_advanced_callbacks() without return types