机器学习数据预处理规范化两种常用方法
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1，Z-score（Z-分数规范化）**
先导入numpy和sklearn库，从sklearn库中导入预处理preprocessing
import numpy as np from sklearn import preprocessing X_train = np.array([[ 1., -1., 2.], [ 2., 0., 0.], [ 0., 1., -1.]]) x=preprocessing.scale(X_train) print(x)
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2，min-max-scale(最大-最小值法）**
mport numpy as np from sklearn import preprocessing X_train = np.array([[ 1., -1., 2.], [ 2., 0., 0.], [ 0., 1., -1.]]) x=preprocessing.minmax_scale(X_train) print(x)
