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Hi all, thanks for the great work. I've been looking at the example codes and modules and I noticed you have an arg for choosing the class strategy as projection or cls_token or average. I guess it doesn't apply to iTransformer since it only works with projection. But I was wondering whether you had feedback about using a learnable class token as a final representation for tasks like timeseries classification. Have you tried it already?
The text was updated successfully, but these errors were encountered:
Hi all, thanks for the great work. I've been looking at the example codes and modules and I noticed you have an arg for choosing the
class strategy
as projection or cls_token or average. I guess it doesn't apply to iTransformer since it only works with projection. But I was wondering whether you had feedback about using a learnable class token as a final representation for tasks like timeseries classification. Have you tried it already?The text was updated successfully, but these errors were encountered: