Update 'simple_regression.py'
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@ -48,8 +48,8 @@ history = model.fit(
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y_pred = model.predict(test_piece_counts)
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y_pred = model.predict(test_piece_counts)
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# Zapis predykcji do pliku
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# Zapis predykcji do pliku
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results = pd.DataFrame({"test_set_piece_count": test_piece_counts.tolist(), "predicted_price": [a[0] for a in y_pred.tolist()]})
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results = pd.DataFrame({'test_set_piece_count': test_piece_counts.tolist(), 'predicted_price': [a[0] for a in y_pred.tolist()]})
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results.to_csv(r'lego_reg_results.csv', index=False, header=True)
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results.to_csv('lego_reg_results.csv', index=False, header=True)
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# Zapis modelu do pliku
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# Zapis modelu do pliku
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model.save('lego_reg_model')
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model.save('lego_reg_model')
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