fit_gazepoint_conformal: Fit target-aware split-conformal calibration

In gp3ml: Governance-First Predictive Modelling for 'Gazepoint' Research

Fit target-aware split-conformal calibration

Description

This function provides conservative split-conformal calibration for explicitly observed regression or binary classification outcomes. When a grouped calibration unit is supplied, row scores are aggregated to the maximum score within each calibration unit before the conformal quantile is estimated. This records and respects the calibration unit but does not claim distribution-free coverage under arbitrary dependence.

Usage

fit_gazepoint_conformal(
  truth,
  prediction = NULL,
  probability = NULL,
  task_type = c("regression", "classification"),
  positive = NULL,
  level = 0.9,
  calibration_unit = c("observation", "participant", "stimulus", "participant_stimulus"),
  unit = NULL,
  generalization_target
)

Arguments

truth	Observed calibration outcomes.
prediction	Numeric predictions for regression.
probability	Positive-class probabilities for classification.
task_type	"regression" or "classification".
positive	Positive class label for classification.
level	Nominal coverage level.
calibration_unit	Calibration unit.
unit	Optional group identifier for grouped calibration.
generalization_target	Declared generalization target.

Value

A gp3ml_conformal_fit.

gp3ml documentation built on Aug. 23, 2026, 5:11 p.m.