tensorflow
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@ -3,6 +3,7 @@ import pandas as pd
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import numpy as np
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from sklearn import preprocessing
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from sklearn.linear_model import LinearRegression
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from sklearn.metrics import mean_squared_error
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import tensorflow as tf
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from tensorflow.keras.layers import Input, Dense, Activation,Dropout
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from tensorflow.keras.models import Model
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@ -100,5 +101,5 @@ predictions = model.predict(X_test)
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pd.DataFrame(predictions).to_csv('prediction_results.csv')
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# ewaluacja
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# _, accuracy = model.evaluate(y_test, predictions)
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# print('Accuracy: %.2f' % (accuracy*100))
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error = mean_squared_error(y_test, predictions)
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print('Error: ', error)
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