转：数据归一化sklearn的minmax_scale()函数解析

数据归一化 minmax_scale()函数解析

例子:

import numpy as np
from sklearn.preprocessing import MinMaxScaler
a = np.arange(20).reshape(4, 5)
ms = MinMaxScaler(feature_range=(-1, 1))
b = ms.fit_transform(a)
print('a:\n', a)
print('b:\n', b)

运行结果：