Index

_

__init__() (fairensics.data.decision_boundary.DecisionBoundary method) (fairensics.data.synthetic_dataset.SyntheticDataset method) (fairensics.methods.disparate_impact.AccurateDisparateImpact method) (fairensics.methods.disparate_impact.FairDisparateImpact method) (fairensics.methods.disparate_mistreatment.DisparateMistreatment method) (fairensics.methods.fairness_warnings.DataSetSkewedWarning method) (fairensics.methods.fairness_warnings.FairnessBoundsWarning method) (fairensics.methods.preferential_fairness.PreferentialFairness method)

A

AccurateDisparateImpact (class in fairensics.methods.disparate_impact)

add_boundary() (fairensics.data.decision_boundary.DecisionBoundary method) add_intercept() (in module fairensics.methods.utils)

C

check_bounds() (fairensics.methods.fairness_warnings.FairnessBoundsWarning method) check_dataset() (fairensics.methods.fairness_warnings.DataSetSkewedWarning method) CLASS_LABEL_FRACTION (fairensics.methods.fairness_warnings.DataSetSkewedWarning attribute)

cvxpy_hinge_loss() (fairensics.methods.utils.LossFunctions static method) cvxpy_logistic_loss() (fairensics.methods.utils.LossFunctions static method) cvxpy_logistic_loss_l1() (fairensics.methods.utils.LossFunctions static method) cvxpy_logistic_loss_l2() (fairensics.methods.utils.LossFunctions static method)

D

DataSetSkewedWarning (class in fairensics.methods.fairness_warnings) DecisionBoundary (class in fairensics.data.decision_boundary)

DISPARATE_IMPACT_RATIO_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute) DisparateMistreatment (class in fairensics.methods.disparate_mistreatment)

E

EO_DIFFERENCE_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute)

ERROR_DIFFERENCE_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute) ERROR_RATIO_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute)

F

FairDisparateImpact (class in fairensics.methods.disparate_impact) fairensics.fairensics_utils (module) FairnessBoundsWarning (class in fairensics.methods.fairness_warnings) fit() (fairensics.methods.disparate_impact.AccurateDisparateImpact method) (fairensics.methods.disparate_impact.FairDisparateImpact method) (fairensics.methods.disparate_mistreatment.DisparateMistreatment method) (fairensics.methods.preferential_fairness.PreferentialFairness method)

FNR_DIFFERENCE_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute) FNR_RATIO_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute) FPR_DIFFERENCE_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute) FPR_RATIO_BOUND (fairensics.methods.fairness_warnings.FairnessBoundsWarning attribute)

G

get_cvxpy_loss_function() (fairensics.methods.utils.LossFunctions static method) get_loss_function() (fairensics.methods.utils.LossFunctions static method)

get_one_hot_encoding() (in module fairensics.methods.utils) get_protected_attributes_dict() (in module fairensics.methods.utils) get_unprotected_attributes() (in module fairensics.fairensics_utils)

H

hinge_loss() (fairensics.methods.utils.LossFunctions static method)

L

log_logistic() (fairensics.methods.utils.LossFunctions static method) logistic_loss() (fairensics.methods.utils.LossFunctions static method) logistic_loss_l1_reg() (fairensics.methods.utils.LossFunctions static method)

logistic_loss_l2_reg() (fairensics.methods.utils.LossFunctions static method) LOSS_NAMES (fairensics.methods.utils.LossFunctions attribute) LossFunctions (class in fairensics.methods.utils)

N

NAME_LOG_REG (fairensics.methods.utils.LossFunctions attribute) NAME_LOG_REG_L1 (fairensics.methods.utils.LossFunctions attribute)

NAME_LOG_REG_L2 (fairensics.methods.utils.LossFunctions attribute) NAME_SVM_LOSS (fairensics.methods.utils.LossFunctions attribute)

P

plot() (fairensics.data.synthetic_dataset.SyntheticDataset method) POSITIVE_NEGATIVE_CLASS_FRACTION (fairensics.methods.fairness_warnings.DataSetSkewedWarning attribute) POSITIVE_NEGATIVE_LABEL_FRACTION (fairensics.methods.fairness_warnings.DataSetSkewedWarning attribute)

predict() (fairensics.methods.disparate_mistreatment.DisparateMistreatment method) (fairensics.methods.preferential_fairness.PreferentialFairness method) PreferentialFairness (class in fairensics.methods.preferential_fairness)

S

scatter() (fairensics.data.decision_boundary.DecisionBoundary method)

show() (fairensics.data.decision_boundary.DecisionBoundary static method) SyntheticDataset (class in fairensics.data.synthetic_dataset)