Changes in version 0.1.1                        

  - Initial release.
  - 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.
  - Built-in simulated COMPAS dataset for demonstrations.