21 lines
453 B
Python
21 lines
453 B
Python
import pickle
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import numpy as np
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with open('model_with_data.pickle', 'rb') as file:
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loaded_data = pickle.load(file)
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# Wczytanie modelu
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model = loaded_data[0]
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#Wczytanie danych testowych
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X_test_scaled = loaded_data[3]
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y_test_encoded = loaded_data[4]
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# Predykcja
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y_pred = model.predict(X_test_scaled)
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y_pred_classess = np.argmax(y_pred, axis=1)
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# Zapisanie wyników predykcji do pliku
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np.savetxt('results_prediction.csv', y_pred, delimiter=',') |