In Keras, assuming I have compile as:
model.compile(optimizer='nadam', loss='binary_crossentropy', metrics=['accuracy'])
And, for some reason, I want to use model.evaluate() instead of model.predict(), how can add f1 score metric to the argument metrics=['accuracy']?
Thank you,