2022-06-30 20:45:15 +00:00
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import random
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from sklearn.model_selection import train_test_split
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from sklearn.preprocessing import MinMaxScaler
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print("Starting processing ...")
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scaler = MinMaxScaler()
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X_train, X_test, y_train, y_test = train_test_split(
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2023-04-27 09:43:12 +00:00
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df_data.values, df_target.values, test_size=0.20, random_state=random.randint(0, 42)
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2022-06-30 20:45:15 +00:00
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)
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X_train = scaler.fit_transform(X_train)
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X_test = scaler.transform(X_test)
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print("Finished processing.")
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