from sklearn.preprocessing import Normalizer #数据预处理正则化Normalizer模型
def test_Normalizer():
X=[[1,2,3,4,5],
[5,4,3,2,1],
[1,3,5,2,4,],
[2,4,1,3,5]]
print("before transform:",X)
normalizer=Normalizer(norm='l2')
print("after transform:",normalizer.transform(X)) # 调用 test_Normalizer
test_Normalizer()