Fit target-aware split-conformal calibration — fit_gazepoint

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.