Keras’s model defines metric or loss,
there is no problem when saving to H5, but when using load_ When importing the model, an error will be reported:

unknown metric function: HammingScore. Please ensure this object is passed to the custom_ objects argument.

This is because the custom parameters are not passed in. There are two solutions:

1. 1. 1. 1. if you only need to predict and no longer train, you can add

         compile = false directly

model = keras.models.load_model('model.h5', compile = False)

If you need further training or modification, add your own metrics code and compile it again

model.compile(loss='binary_crossentropy',
              optimizer=Ada,
              metrics=[HammingScore]) # 这里HammingScore是我自定义的metric

1. 1. when importing, the user-defined metric/loss is passed into

Custom as a key value_ objects

1. 1. :

model = keras.models.load_model('model.h5', custom_objects={'HammingScore': HammingScore} )

Note that the key value should be consistent