我想在回调中添加多个参数。我该如何解决这个错误？

Question

我收到这个错误

" AttributeError: 'list' object has no attribute 'set_model' "

当我在 model.fit_generator

中添加学习计划回调 callbacks_list

<callbacks=[callback,callbacks_list]>

我该如何解决这个错误？

lrate = LearningRateScheduler(step_decay)
callbacks_list = [lrate]
history=model.fit_generator(generate_arrays_for_training(indexPat, filesPath, end=75), #end=75),
                                validation_data=generate_arrays_for_training(indexPat, filesPath, start=75),#start=75),
                                steps_per_epoch=int((len(filesPath)-int(len(filesPath)/100*25))),#*25), 
                                validation_steps=int((len(filesPath)-int(len(filesPath)/100*75))),#*75),
                                verbose=2,
                                epochs=300, max_queue_size=2, shuffle=True, callbacks=[callback,callbacks_list])

Answer 1

您将其中一个回调放在不必要的列表中，这会产生错误。只需这样做：

callbacks=[callback, lrate]

我想在回调中添加多个参数。我该如何解决这个错误？

I want to add more than one argument in callbacks. How can i solve this error?

python

callback

model-fitting

deep-learning

learning-rate