keras: how to save the training history attribute of the history object

Question

In Keras, we can return the output of model.fit to a history as follows:

 history = model.fit(X_train, y_train, 
                     batch_size         


        

Answer 1

The above answers are useful when saving history at the end of the training process. If you want to save the history during the training, the CSVLogger callback will be helpful.

Below code saves the model weight and history training in form of a datasheet file log.csv.

model_cb = tf.keras.callbacks.ModelCheckpoint(filepath=checkpoint_path)
history_cb = tf.keras.callbacks.CSVLogger('./log.csv', separator=",", append=False)

history = model.fit(callbacks=[model_cb, history_cb])