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()