adult_ready_small       Adult ready (small sample)
analyse_experts         Analyse and Visualise Expert Network
                        Specialisation
analyse_gnn_results     Analyse and Visualise GNN Results
export_f360_csv         Export predictions for IBM Fairness 360
fairgate                Fit fairGATE in One Call
fairgate_base_grid      Default Hyperparameter Grids for the Base
                        Learner
fairgate_base_learner   Cross-Fitted Base Learner (XGBoost or Neural
                        Network)
fairgate_crossed_penalty
                        Crossed Variance-Component Penalty for
                        Intersectional Groups
fairgate_crossed_plan   Cell Structure for Crossed (Intersectional)
                        Variance Components
fairgate_disparity_target
                        Per-Person Disparity-Contribution Target
fairgate_draw_configs   Draw fairGATE Configurations
fairgate_export         Per-Person Export of a fairGATE Fit
fairgate_fair_penalty   fairGATE Fairness Penalty from Individual
                        Predictions
fairgate_gate_map       Gate Maps: softmax, sparsemax and entmax-1.5
fairgate_group_disparity
                        Multi-Group Separation Disparity: Per Group,
                        Worst Group and Joint
fairgate_group_gap_penalty
                        Worst-Group Conditional Mean Gap Penalty
                        (continuous outcomes)
fairgate_lambda_ladder
                        Frontier Ladder of Expert Fairness Weights
fairgate_penalty_from_cells
                        Between-Group Variance Components for the
                        fairGATE Fairness Penalty
fairgate_penalty_plan   Cell Structure for the fairGATE Fairness
                        Penalty
fairgate_space          fairGATE Search Space and Fixed Settings
fairgate_threshold_penalty
                        Differentiable Penalty on Thresholded Group
                        Error Rates
fairgate_threshold_plan
                        Cell Structure for the Thresholded Error-Rate
                        Penalty
fairgate_tune_base_learner
                        Tune the Base Learner on an Inner Split
plot_sankey             Create a Sankey Plot (robust; aggregates to one
                        row per subject)
prepare_data            Prepare Data for GNN Training
train_gnn               Train and Evaluate the Gated Neural Network
                        (robust splits + safe ROC)
