Conformal Inference with Tidymodels - posit::conf(2023)

Presented by Max Kuhn
Conformal inference theory enables any model to produce probabilistic predictions, such as prediction intervals. We'll demonstrate how these analytical methods can be used with tidymodels. Simulations will show that the results have good coverage (i.e., a 90% interval should include the real point 90% of the time).
Presented at Posit Conference, between Sept 19-20 2023,
Learn more at posit.co/conference.
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Talk Track: Tidy up your models.
Session Code: TALK-1085

[@carvalhoribeiro]

Great. Thanks for sharing this

[@ssna60]

Max, you are amazing.

[@matej6418]

non exchangable data, wat do ?