问Keras错误:搜索过程中使用的所有回调都应该是深度可复制的。

EN

from keras.callbacks import TensorBoard, EarlyStopping
%load_ext tensorboard

BATCH_SIZE = 32

time_stamp = time.time()
tensorboard = TensorBoard(log_dir = " graphs/{}".format(time_stamp))
checkpoint = ModelCheckpoint(filepath = r"D:\Uni work\...\CNN.hdf5" , monitor = 'val_accuracy', verbose = 1, save_best_only = True )
early_stopping = EarlyStopping( monitor="val_loss" , patience= 3, verbose=2)

tuner = BayesianOptimization(build_model, objective = "val_accuracy", max_trials = 30, num_initial_points=2,  project_name ="audio_classifier")

tuner.search(x = train_X, y=y_cat_encoded, epochs=35, callbacks =  early_stopping, batch_size = BATCH_SIZE, validation_data = (validation_X, y_validation_cat_encoded))

C:\Anaconda\envs\test\lib\site-packages\kerastuner\engine\tuner.py in _deepcopy_callbacks(self, callbacks)
    277             callbacks = copy.deepcopy(callbacks)
    278         except:
--> 279             raise ValueError(
    280                 'All callbacks used during a search '
    281                 'should be deep-copyable (since they are '

ValueError: All callbacks used during a search should be deep-copyable (since they are reused across trials). It is not possible to do `copy.deepcopy(<tensorflow.python.keras.callbacks.EarlyStopping object at 0x000001802D138100>)