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SplitConformal

An interval instead of a point, a set instead of a class — and a coverage guarantee attached to each. Static, stateless, and it never sees your model.

Members

Member	What it does
SplitConformal.Quantile	The calibrated quantile: the k-th smallest calibration score.
ConformalQuantileRule	Which order statistic Quantile reads: the ceiling rank, or MAPIE's classification quantile.
SplitConformal.AbsoluteResiduals	A regressor's calibration scores, |y − ŷ|.
SplitConformal.Interval	[ŷ − q, ŷ + q] around a point prediction.
SplitConformal.NormalisedResiduals	A regressor's scores divided by a predicted residual, |y − ŷ| / r̂.
SplitConformal.NormalisedInterval	[ŷ − q·r̂, ŷ + q·r̂], whose width varies with the input.
SplitConformal.LeastAmbiguousScores	A classifier's LAC calibration scores, 1 − p̂(true class).
SplitConformal.PredictionSet	Every class whose probability clears 1 − q. Possibly none.