Function calibration_curve 

pub fn calibration_curve(
    scores: &[f64],
    labels: &[bool],
    n_bins: usize,
) -> Result<Vec<CalibrationBin>, StatsError>

Bin predicted probabilities into n_bins equal-width bins over [0, 1] and compute the observed positive frequency in each. Empty bins are omitted. A perfectly calibrated model has every point on the y = x diagonal.

Errors

• StatsError::LengthMismatch if scores/labels differ in length.
• StatsError::EmptyInput if empty or n_bins == 0.