FormalMechanismCohortPoint

FormalMechanismCohortPoint(epsilon: 'float', n_samples: 'int', n_clean_correct: 'int', n_decision_certified: 'int', n_representation_certified: 'int', n_causal_effect_certified: 'int', n_mechanism_certified: 'int', n_jointly_certified: 'int', n_decision_and_mechanism: 'int', n_decision_only: 'int', n_mechanism_only: 'int', n_neither: 'int', n_representation_applicable: 'int', n_causal_applicable: 'int', n_mechanism_applicable: 'int', n_decision_and_representation_applicable: 'int', n_decision_and_causal_applicable: 'int', n_decision_and_mechanism_applicable: 'int', n_applicable_decision_and_mechanism: 'int', n_applicable_decision_only: 'int', n_applicable_mechanism_only: 'int', n_applicable_neither: 'int', decision_certified_accuracy: 'float', representation_certified_fraction: 'float', causal_effect_certified_fraction: 'float', joint_certified_accuracy: 'float', representation_applicable_fraction: 'float', causal_applicable_fraction: 'float', mechanism_applicable_fraction: 'float', applicable_decision_certified_fraction: 'float | None', applicable_mechanism_certified_fraction: 'float | None', applicable_joint_certified_fraction: 'float | None', representation_inapplicability_reasons: 'dict[str, int]' = <factory>, causal_inapplicability_reasons: 'dict[str, int]' = <factory>, mechanism_inapplicability_reasons: 'dict[str, int]' = <factory>, per_class: 'dict[str, dict[str, Any]]' = <factory>)