from sklearn.preprocessing import StandardScaler #数据预处理标准化StandardScaler模型 def test_StandardScaler(): X=[[1,5,1,2,10], [2,6,3,2,7], [3,7,5,6,4,], [4,8,7,8,1]] print("before transform:",X) scaler=StandardScaler() scaler.fit(X) print("scale_ is :",scaler.scale_) print("mean_ is :",scaler.mean_) print("var_ is :",scaler.var_) print("after transform:",scaler.transform(X)) # 调用 test_StandardScaler test_StandardScaler()