save and load keras.callbacks.History

Question

I'm training a deep neural net using Keras and looking for a way to save and later load the history object which is of keras.callbacks.History type. Here's the setup:

history_model_1 = model_1.fit_generator(train_generator,
                          steps_per_epoch=100,
                          epochs=20,
                          validation_data=validation_generator,
                          validation_steps=50)

history_model_1 is the variable I want to be saved and loaded during another Python session.

Answer 1

history_model_1 is a callback object. It contains all sorts of data and isn't serializable.

However, it contains a dictionnary with all the values that you actually want to save (cf your comment) :

import json
# Get the dictionary containing each metric and the loss for each epoch
history_dict = history_model_1.history
# Save it under the form of a json file
json.dump(history_dict, open(your_history_path, 'w'))

You can now access the value of the loss at the 50th epoch like this :

print(history_dict['loss'][49])

Reload it with

history_dict = json.load(open(your_history_path, 'r'))

I hope this helps.