Update 'train.py'
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train.py
8
train.py
@ -5,6 +5,7 @@ from sacred.observers import MongoObserver
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from sacred.observers import FileStorageObserver
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from keras.applications.densenet import layers
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import tensorflow
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import random
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exint = Experiment('z-s434686-training')
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@ -35,8 +36,11 @@ def my_main(EPOCHS, _run):
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optimizer=tensorflow.keras.optimizers.Adam())
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norm_games_model.fit(games_all, games_predict, epochs=EPOCHS)
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accu = norm_games_model.evaluate(x_to_test, y_to_test)
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exint.add_artifact(filename=accu, name='metrics.txt')
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counter = 0
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while counter < 20:
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counter+=1
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value = counter * random.randint(5, 5000)
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_run.log_scalar("training.accuracy", value * 2)
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norm_games_model.save('test')
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