fairness_data(): Bundle predictions, labels, protected
attributes.fairness_metrics(): Group-wise fairness metrics
(selection rate, TPR, FPR, PPV, accuracy, AUC, Brier) with optional
bootstrap CIs.fairness_report(): Audit report with four-fifths rule
screening.threshold_optimize(): Group-specific threshold
mitigation (equalized odds / demographic parity) with configurable grid
resolution.intersectional_fairness(): Cross-tabulated
multi-attribute analysis with small-group filtering.autoplot(), plot_roc(),
plot_calibration(): Visualization.
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