22 lines
500 B
Python
22 lines
500 B
Python
import pandas
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import os
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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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reloaded = tensorflow.keras.models.load_model('test')
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x_to_test = pandas.read_csv('./X_test.csv')
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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.txt', 'w') as file:
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file.write(f'accurency: {accu}')
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pre = reloaded.predict(x_to_test)
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pre.tofile('prediction.csv', sep=',', format='%s') |