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: ', a) print('b: ', b)
运行结果:
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: ', a) print('b: ', b)
运行结果: