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20 lines
398 B
Python
20 lines
398 B
Python
#%% 加载数据
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from sklearn import datasets
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boston = datasets.load_boston()
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X,y = boston.data,boston.target
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X.shape
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# %% 标准归一化
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print(X[:,:3].mean(axis=0))
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print(X[:,:3].std(axis=0))
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from sklearn import preprocessing
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my_scaler = preprocessing.StandardScaler()
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my_scaler.fit(X[:,:3])
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result = my_scaler.transform(X[:,:3])
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# 值特别小，近似为0
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print(result[:,:3].mean(axis=0))
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