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官方例程中,self.scale和self.use_norm默认都是开启的,这样在data_loader.py中读取数据时会调用一次self.scaler.transform做数据标准化处理,之后在iTransformer.py的forecast中还会再做一次Normalization,请问是否重复了呢,还是说有其他考量?谢谢
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官方例程中,self.scale和self.use_norm默认都是开启的,这样在data_loader.py中读取数据时会调用一次self.scaler.transform做数据标准化处理,之后在iTransformer.py的forecast中还会再做一次Normalization,请问是否重复了呢,还是说有其他考量?谢谢
The text was updated successfully, but these errors were encountered: