Update 'predict.py'
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@ -6,6 +6,7 @@ from keras.applications.densenet import layers
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from sklearn.model_selection import train_test_split
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import tensorflow
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build_number = int(os.environ['BUILD_NUMBER'])
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reloaded = tensorflow.keras.models.load_model('test')
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@ -14,8 +15,9 @@ y_to_test = pandas.read_csv('./Y_test.csv')
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accu = reloaded.evaluate(x_to_test, y_to_test)
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with open('metrics.csv', 'a') as file:
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file.write(f'{accu},')
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file.write(f'{build_number},{accu}\n')
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pre = reloaded.predict(x_to_test)
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