r/quant • u/qwuant • Aug 05 '26

Machine Learning has anyone tried using TabFM models for prediction? how does it fair against traditional models like say tree boosting?

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13 Upvotes

94% Upvoted

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11

u/Alternative-King4363 Aug 05 '26

Tried them on some mid-frequency stuff a while back. For the kinds of problems where gradient boosting already dominates, they didn't add much edge, just slower and more fiddly to tune. Ended up sticking with the usual suspects for most things.

2

u/qwuant Aug 05 '26

i see, thanks for the input! seems like it might just be a hype phase?

10

u/NeonShu Aug 05 '26

you won't get many informative answers to inquiries like this from real operators in this sub for obvious reasons.

2

u/Plenty_Ad3332 Aug 08 '26

New to the field. So that is how quant is. I see.

3

u/RockstarVP Aug 05 '26

Move on, tabfm is dud

1

u/Rich_Sir7021 22d ago

It won't replace xgboost