SMMAL                   Estimate Average Treatment Effect (ATE) via
                        Semi-Supervised Learning Pipeline
SMMAL_ada_lasso         Adaptive LASSO with Cross-Validation
ate.SSL                 Estimate Average Treatment Effect (ATE) via
                        Semi-Supervised Learning
cf                      Cross-Fitting with Model Selection and Log Loss
                        Evaluation
compute_parameter       Estimate Nuisance Parameters for
                        Semi-Supervised ATE Estimation
cross_validation        Assign Cross-Validation Folds for Labelled and
                        Unlabelled Data
param_fun               Parameter grid function
