39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
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import pandas as pd
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from tensorflow import keras
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import csv
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model = keras.models.load_model('model.h5')
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X_test = pd.read_csv('X_test.csv').values
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X_train = pd.read_csv('X_train.csv').values
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X_val = pd.read_csv('X_val.csv').values
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with open('test_predictions.csv', "a") as file:
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writer = csv.writer(file)
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predictions = model.predict(X_test)
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writer.writerow(['PredictedPriceAboveMedian'])
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for pred in predictions:
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result = [0]
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if pred[0] > 0.5:
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result = [1]
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writer.writerow(result)
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with open('train_predictions.csv', "a") as file:
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writer = csv.writer(file)
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predictions = model.predict(X_train)
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writer.writerow(['PredictedPriceAboveMedian'])
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for pred in predictions:
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result = [0]
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if pred[0] > 0.5:
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result = [1]
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writer.writerow(result)
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with open('dev_predictions.csv', "a") as file:
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writer = csv.writer(file)
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predictions = model.predict(X_val)
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writer.writerow(['PredictedPriceAboveMedian'])
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for pred in predictions:
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result = [0]
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if pred[0] > 0.5:
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result = [1]
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writer.writerow(result)
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