数据归一化 minmax_scale()函数解析 例子: 1 2 3 4 5 6 7 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: 分类...
）函数解析 转：数据归⼀化sklearn的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：