Python/Keras - Creating a callback with one prediction for each epoch

Question

I\'m using Keras to predict a time series. As standard I\'m using 20 epochs. I want to know what did my neural network predict for each one of the 20 epochs.

By using mo

Answer 1

You are overwriting the prediction for each epoch, that is why it doesn't work. I would do it like this:

class prediction_history(Callback):
    def __init__(self):
        self.predhis = []
    def on_epoch_end(self, epoch, logs={}):
        self.predhis.append(model.predict(predictor_train))

This way self.predhis is now a list and each prediction is appended to the list at the end of each epoch.