pub struct CalibrationDiagnosticsResult {
pub brier_score: f64,
pub log_loss: f64,
pub hosmer_lemeshow_chi2: f64,
pub hosmer_lemeshow_df: usize,
pub n_groups: usize,
pub reliability_bins: Vec<(f64, f64)>,
pub bin_counts: Vec<usize>,
}Expand description
Calibration diagnostics for a functional logistic regression model.
Fields§
§brier_score: f64Brier score: (1/n) Σ (p_i - y_i)².
log_loss: f64Log loss: -(1/n) Σ [y log p + (1-y) log(1-p)].
hosmer_lemeshow_chi2: f64Hosmer-Lemeshow chi² statistic.
hosmer_lemeshow_df: usizeDegrees of freedom: n_groups - 2.
n_groups: usizeNumber of calibration groups.
reliability_bins: Vec<(f64, f64)>Reliability bins: (mean_predicted, mean_observed) per group.
bin_counts: Vec<usize>Number of observations in each group.
Auto Trait Implementations§
impl Freeze for CalibrationDiagnosticsResult
impl RefUnwindSafe for CalibrationDiagnosticsResult
impl Send for CalibrationDiagnosticsResult
impl Sync for CalibrationDiagnosticsResult
impl Unpin for CalibrationDiagnosticsResult
impl UnsafeUnpin for CalibrationDiagnosticsResult
impl UnwindSafe for CalibrationDiagnosticsResult
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