change scaling to normalization
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ium01.ipynb
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ium01.ipynb
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@ -5,8 +5,8 @@ from sklearn.model_selection import train_test_split
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df = pd.read_csv('smart_grid_stability_augmented.csv')
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df = pd.read_csv('smart_grid_stability_augmented.csv')
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min_max_scaler = preprocessing.MinMaxScaler()
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scaler = preprocessing.StandardScaler().fit(df.iloc[:, 0:-1])
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df_norm_array = min_max_scaler.fit_transform(df.iloc[:, 0:-1])
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df_norm_array = scaler.transform(df.iloc[:, 0:-1])
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df_norm = pd.DataFrame(data=df_norm_array,
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df_norm = pd.DataFrame(data=df_norm_array,
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columns=df.columns[:-1])
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columns=df.columns[:-1])
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df_norm['stabf'] = df['stabf']
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df_norm['stabf'] = df['stabf']
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