In a jupyter notebook, I'm doing a training in keras with a line similar to
history = model.fit(....., epoch=100)
When I see that var_loss
converge I break manually the execution, and obviously history is not returned.
Is there a way to retrieve it? A member of model, or method, or a way to get the history object or its members?
@Mquinteiro Try using a callback: https://keras.io/callbacks/. You could set the callback to terminate when the model is no longer improving (keras.callbacks.EarlyStopping
) and then access the best model (save_best_only = True
), or you could have the callback save checkpoints after each epoch (keras.callbacks.ModelCheckpoint
) which you can access after manually stopping the execution.
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