Comments (3)
We developed the model for forecasting, but it is possible to explore using it for forecasting. One simple way is to only keep the encoder, and use the output representations from the encoder and feed it into a classifier. Do let us know if you ever test it out for classification!
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Thanks for spotting this! I've just pushed a fix!
from etsformer.
Thanks! Btw does your model also support classification?
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Related Issues (10)
- Error of PyTorch vs. CUDA version HOT 1
- How to adapt framework for custom data?
- RuntimeError when running model HOT 1
- Holidays and other flags HOT 1
- Please upload Example Notebook
- Multivariate input to predict univariate variables HOT 2
- Why the value of true.npy is not the same as the original value? HOT 1
- github code seems to predict flat lines only HOT 3
- Accidentally submitted an issue
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