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July 2, 2017 15:23
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Keras callback
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| from keras.callbacks import Callback | |
| import numpy as np | |
| class MyCallback(Callback): | |
| def __init__(self, test_data, test_label, log_file=None, verbose=True): | |
| self.test_data = test_data | |
| self.test_label = test_label | |
| self.result = [] | |
| self.log = open(log_file, 'w') if log_file else None | |
| self.verbose = verbose | |
| def on_epoch_end(self, epoch, logs=None): | |
| probs = self.model.predict(self.test_data) | |
| avg_acc = calculate_acc(probs, self.test_label) # function to calculate acc | |
| self.result.append(avg_acc) | |
| log_str = 'Epoch {} acc= {:.4f}'.format(epoch, avg_acc) | |
| if self.verbose: | |
| print(log_str) | |
| if self.log: | |
| print(log_str, file=self.log) | |
| def on_train_end(self, logs=None): | |
| if self.log: | |
| self.log.close() |
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