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CriticalTemperature1 t1_j1nf8g1 wrote

Take a look at TabPFN, which uses meta-learned networks for tabular data prediction: https://www.automl.org/tabpfn-a-transformer-that-solves-small-tabular-classification-problems-in-a-second/

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blablanonymous t1_j1nno5z wrote

What’s the TLDR for this? I’ve meant to try it but never got around to

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CriticalTemperature1 t1_j1nq72n wrote

The authors trained a transformer that takes a tabular data set and can learn SoTA embeddings on categorical data in under a second

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cthorrez t1_j1ossr4 wrote

for datasets with ~1000 rows and 10 columns iirc

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PiracyPolicy2 t1_j1pe1fa wrote

Yep exactly. Been keeping an site out but afaik, still the case. And I mean, what’s the point of that

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Ill-Branch-3323 t1_j1pu22w wrote

Small correction - 100 columns, and only classification (not regression) so yeah, not very practically useful yet, though a really cool idea

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