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| """Evaluation: metrics, calibration, explainability, business value.""" | |
| from .metrics import ( | |
| binary_classification_metrics, | |
| ks_statistic, | |
| gini, | |
| recall_at_fpr, | |
| lift_at_k, | |
| psi, | |
| ) | |
| from .business import ( | |
| expected_loss_avoidance, | |
| optimal_threshold, | |
| cost_sensitive_evaluation, | |
| ) | |
| from .explainability import ShapExplainer | |
| from .fairness import fairness_report | |
| __all__ = [ | |
| "binary_classification_metrics", | |
| "ks_statistic", | |
| "gini", | |
| "recall_at_fpr", | |
| "lift_at_k", | |
| "psi", | |
| "expected_loss_avoidance", | |
| "optimal_threshold", | |
| "cost_sensitive_evaluation", | |
| "ShapExplainer", | |
| "fairness_report", | |
| ] | |