3 ms·
It's exciting to see a novel approach to applying NNets to Tabular ML. Definitely need to call out the 1000 row limitation. It will be interesting to see if thi
by newfocogi 4y ago
It's exciting to see a novel approach to applying NNets to Tabular ML. Definitely need to call out the 1000 row limitation. It will be interesting to see if this approach stands the test of time. Other algorithms (SAINT cough, cough) made big claims, but AFAIK no one actually uses them. It's still a "XGBoost is all you need" world in tabular ML (unless you've discovered AutoGluon).
- jilijeanlouis 4y agoOn the other hand xgboost tends to overfit on small dataset so tabpfn is a great complement