Comments (2)
noahho
commented on September 15, 2024
Hi, great work on your site! Lots of requests at the moment, but didn't want to make you wait, sorry if this is a bit short. As of now TabPFN isn't really made for time series (even though features could be data from different time points). Is there something in particular you would need tio have changed? Could you use of sklearn interface which seems standard for classification tasks?
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microprediction
commented on September 15, 2024
Hi Noah, Samuel,
No need to reopen this but just noticed your response. Yeah, I'll have a try on time-series classification (e.g. what model will work best in the near horizon) and get back to you. One thing I don't understand yet is what happens in "fit" exactly, but I'll trace in and educate myself. Keep it up. Poo to the critics.
Peter
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Related Issues (20)
- Error in cross entropy loss calculation 160/train.py
- model does not support gradient calculation if no_grad = False? HOT 1
- What purpose does remove_models_from_memory serve? HOT 1
- ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')) HOT 1
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- Trying to understand hyper-parameter curation
- Bag prior weights HOT 2
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- The variable "single_eval_position" has a chance of being zero. HOT 2
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- EnsembleTabPFN for bigger than 1000 rows dataset HOT 1
- UserWarning from torch.utils.checkpoint
- path_ = 'prior_tuning_result.pkl'，Where did this document come from？？
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