23 lines
525 B
Python
23 lines
525 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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pre = reloaded.predict(x_to_test)
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pre_array = [float(i)/sum(pre) for i in pre]
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with open("prediction.txt", "w") as txt_file:
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for line in pre_array:
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txt_file.write(f"{line}") |