pub fn expected_calibration_error(
fit: &FunctionalLogisticResult,
y: &[f64],
n_bins: usize,
) -> Result<EceResult, FdarError>Expand description
Compute expected, maximum, and adaptive calibration errors for a logistic model.
§Arguments
fit— A fittedFunctionalLogisticResulty— Binary labels (0/1), length nn_bins— Number of bins for equal-width binning
§Errors
Returns FdarError::InvalidDimension if fit.probabilities is empty or
y.len() does not match the number of probabilities.
Returns FdarError::InvalidParameter if n_bins is zero.