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Hello,thanks for this excellent work!
I used iTransformer to train on my own data set (univariate,no 'date'column),and the results were much better when the dataset was spaced 1 second apart than 1 h…
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谢谢解答
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I'm not sure if you are looking for additional papers, but RevIN has been found to improve forecasting among many different kinds of models. It's a pretty simple addition where you normalize before th…
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作者您好，您们的文章里提到Market数据集是您们收集的，那这个数据集没有公开吗？如果没有，能否分享一下数据集呢？谢谢
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**System Information (please complete the following information):**
- macOS Monterrey 12.5
- mlnet --version 16.14.1+6737204c7385d9f8d1252a097a5f86747dc0ce81
- dotnet --version 7.0.101
**Des…
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### Bug description
This is not an urgent issue, but I wanted to report it as soon as possible to avoid that incompatibilities to pile up.
Due to the change of name of `yarp::os::IConfig` that was…
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Dear creators of iTransformer.
I am really looking forward to Test in the next days.
In your usage example, there might be a typo in the comment describing the dimensions of the output.
The dimen…
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@wuhaixu2016
I'm very curious about this because this radar chart does look g…
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Dear authors of Tsinghua University. Thank you for your outstanding contributions, especially with regard to Time Series. I find this time series library incredibly helpful and useful. But I have a fe…
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The original paper uses "Series Stationarization" as proposed in "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting".
It could be easily implemented in the forward…