Multi-output regression
Hi TabPFN Team,
Thank you for your excellent work on TabPFN! I would like to ask from which version the TabPFNRegressor was introduced. I couldn't find a clear indication in the release notes or documentation.
It would be great if you could clarify this. Thanks in advance for your help!
Best regards
I would also like to confirm if the latest version of TabPFN supports multi-output regression. If not, are there any plans to add this feature in the future?
Hi! It does not currently do so, but we will support this soon (The code is mostly ready in tabpfn-extensions repository). Are you looking for a point prediction or distribution for multi-output? For your first question: It was release in version 2.0
Hello, I have applied the TabPFN in my own datasets with the best performance compared to other ML models. I am also looking forwards to the multi-output regression ( 1*n output ) , please inform me when the new version is available.
Hi, I am wondering if the multi-output regression is available now in the latest version of tabpfn. Thanks!
This is just being built here: https://github.com/PriorLabs/tabpfn-extensions/pull/207 and will be merged soon. You can already use this by installing from that branch