Save and Load Keras history with numpy.py

def saveHistory(history_dict, filename):
    to_be_saved = data = {'S': history_dict}
    np.save(open(filename, 'w'), to_be_saved)

def loadHistory(filename):
    loaded = np.load(open(filename))
    return loaded[()]['S']

hi = model.fit(...)
saveHistory(hi.history, 'tmp_saved_history.npy')
visualize_history(loadHistory('tmp_saved_history.npy'))