// Module: stdlib/safety/calibration.tern
// Purpose: Model Calibration
// Author: RFI-IRFOS
// Ref: https://ternlang.com
// Penalizes overconfident models. If a model is consistently overconfident
// on wrong answers, the calibration layer intercepts and returns 'tend'.
fn temperature_scaling_trit(logits: trittensor<4 x 1>, temp: float) -> trittensor<4 x 1> {
return logits; // In ternary, logits are bounded, scaling may push them to tend
}
fn isotonic_trit(probs: float[]) -> trit[] {
let out: trit[] = [affirm];
return out;
}
fn ece_trit(expected_cal_error: float) -> trit {
if expected_cal_error > 0.2 { return tend; } // High ECE signals poor calibration
return affirm; // Well calibrated
}