用inverse反归一化报错

[AMINUSFELIX]

Traceback (most recent call last):
File "run.py", line 228, in
exp.test(setting, test=1)
File "G:\PythonProjects\TimeXer-main\exp\exp_long_term_forecasting.py", line 233, in test
outputs = test_data.inverse_transform(outputs.squeeze(0)).reshape(shape)
ValueError: cannot select an axis to squeeze out which has size not equal to one

按照 thuml/Time-Series-Library@20eff0e
修改后，依然报错：

Traceback (most recent call last):
File "run.py", line 228, in
exp.test(setting, test=1)
File "G:\PythonProjects\TimeXer-main\exp\exp_long_term_forecasting.py", line 231, in test
outputs = test_data.inverse_transform(outputs.reshape(shape[0] * shape[1], -1)).reshape(shape)
File "G:\PythonProjects\TimeXer-main\data_provider\data_loader.py", line 434, in inverse_transform
return self.scaler.inverse_transform(data)
File "G:\anaconda3\envs\TimeXer\lib\site-packages\sklearn\preprocessing_data.py", line 1052, in inverse_transform
X *= self.scale_
ValueError: non-broadcastable output operand with shape (96,1) doesn't match the broadcast shape (96,3)

[s1h3ibai]

你好 请问这个问题你解决了吗 ，我也有这个问题

[AMINUSFELIX]

你好 请问这个问题你解决了吗 ，我也有这个问题

我也还没解决

[wang-lucy]

您好，这是由于在数据集归一化时对所有变量进行了归一化，导致在进行MS预测时输出的形状与数据集形状不匹配导致的，我们已经对exp代码进行了更新。感谢您的反馈！