tabular
Conformalized TabPFN: prediction intervals for a pre-trained transformer for tabular data in Python and R
Knowing a model’s prediction is useful. Knowing how reliable this prediction is, it is even more so. Conformal prediction provides just that: statistically valid prediction intervals with guaranteed coverage (under certain conditions), regardless of the underlying model or data distribution. In this article, we combine two powerful tools: TabPFNA pretrained transformer for tabular dataAnd nnetsauce‘s […]
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