成功解决ValueError: y should be a 1d array, got an array of shape (8, 8) instead.

在写机器学习支持向量机综合实践时，遇到的小问题：

min_max_scaler=preprocessing.MinMaxScaler()
X=min_max_scaler.fit_transform(x)
X_train,Y_train,X_test,Y_test=train_test_split(X,y,train_size=0.4)
sv.fit(X_train,Y_train)
accuracy2=sv.score(X_test,Y_test)

运行代码：

ValueError: y should be a 1d array, got an array of shape (8, 8) instead.

然后查看了variable Explorer

发现训练数据y异常，原来train_test_split中写错了位置，嘿嘿

修改后代码如下：

min_max_scaler=preprocessing.MinMaxScaler()
X=min_max_scaler.fit_transform(x)
X_train,X_test,Y_train,Y_test=train_test_split(X,y,train_size=0.4)
sv.fit(X_train,Y_train)
accuracy2=sv.score(X_test,Y_test)