What if you never had to train or tune a model again? That is the pitch behind tabular foundation models: state-of-the-art predictions with no training, no hyperparameter search, no feature engineering. Just call .fit() and .predict(). The headliner, TabPFN, whose earlier version was published in Nature, now adds claims aimed straight at the... Weiterlesen: No more model training? TabPFN v3 vs. tuned trees (sps26)
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No more model training? TabPFN v3 vs. tuned trees (sps26)
What if you never had to train or tune a model again? That is the pitch behind tabular foundation models: state-of-the-art predictions with no training, no…
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