You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi author, thanks for sharing the code. I'm wondering how data augmentation strategies like mix-up, cut-out, cut-mix, etc., can be applied to tabular data (I understand they are usually applied to images though). Please advise, many thanks.
The text was updated successfully, but these errors were encountered:
When digging through the code, I found that the authors refer to CutOut and CutMix. In these two files, you can see that they replace random columns with zero or replace them with values from a random other sample in the batch.
as @perschi nicely mentioned, you could additionally find MixUp here. Basically, since we are not using an image anymore and there is no information related to neighboring features, we select features randomly.
Let me know if there is something else that is unclear :).
Hi author, thanks for sharing the code. I'm wondering how data augmentation strategies like mix-up, cut-out, cut-mix, etc., can be applied to tabular data (I understand they are usually applied to images though). Please advise, many thanks.
The text was updated successfully, but these errors were encountered: