Index

_

__len__() (AcsEmployment method) (AcsIncome method) (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (Dataset method) (DataTuple method) (FeatureSplit method) (German method) (Health method) (LabelGroup method) (LabelTuple method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Prediction method) (SoftPrediction method) (Sqf method) (StaticCSVDataset method) (SubgroupTuple method) (Synthetic method) (Toy method) (TrainTestPair method) (TrainValPair method)

A

AbsCV (class in ethicml.metrics) Accuracy (class in ethicml.metrics) AcsEmployment (class in ethicml.data) AcsIncome (class in ethicml.data) Activation (class in ethicml.utility) adjust() (LabelBinarizer method) Admissions (class in ethicml.data) AdmissionsSplits (class in ethicml.data) Adult (class in ethicml.data) AdultSplits (class in ethicml.data) Agarwal (class in ethicml.models.inprocess.agarwal_reductions) aggregate_over_sens() (in module ethicml.metrics) aggregate_results() (in module ethicml.utility) Algorithm (class in ethicml.models.algorithm_base) ALL (PerSens attribute) append_df() (ResultsAggregator method) append_from_csv() (ResultsAggregator method) apply() (Activation method) (Heaviside method) apply_per_sensitive (AbsCV attribute) (Accuracy attribute) (AS attribute) (AverageOddsDiff attribute) (BalancedAccuracy attribute) (BCR attribute) (CfmMetric attribute) (CV attribute) (F1 attribute) (FNR attribute) (FPR attribute) (Hsic attribute) (Metric attribute) (MetricStaticName attribute) (NMI attribute) (NPV attribute) (PPV attribute) (ProbNeg attribute) (ProbOutcome attribute) (ProbPos attribute) (RenyiCorrelation attribute) (RobustAccuracy attribute) (SklearnMetric attribute) (Theil attribute) (TNR attribute) (TPR attribute) (Yanovich attribute)

apply_to_joined_df() (DataTuple method) arrange_in_parallel() (in module ethicml.run) AS (class in ethicml.metrics) available_tabular() (in module ethicml.data) AverageOddsDiff (class in ethicml.metrics)

B

BalancedAccuracy (class in ethicml.metrics) BalancedTestSplit (class in ethicml.preprocessing) BCR (class in ethicml.metrics) best() (CVResults method)

best_hyper_params() (CVResults method) Beutel (class in ethicml.models.preprocess.beutel) BiasedDebiasedSubsets (class in ethicml.preprocessing) BiasedSubset (class in ethicml.preprocessing) bin_cont_feats() (in module ethicml.preprocessing)

C

Calders (class in ethicml.models.preprocess.calders) call_script() (Agarwal method) (Beutel method) (DRO method) (InstalledModel method) (Kamishima method) (SubprocessAlgorithmMixin method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method) cat_lookup() (AcsEmployment static method) (AcsIncome static method) CfmMetric (class in ethicml.metrics) class_labels (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) ClassifierType (class in ethicml.utility) clear() (FeatureSplit method) columns (LabelGroup attribute)

Compas (class in ethicml.data) CompasSplits (class in ethicml.data) compute_instance_weights() (in module ethicml.models.inprocess.kamiran) concat() (in module ethicml.utility) cont_first (FeatureOrder attribute) continuous_features (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (Dataset property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) copy() (FeatureSplit method) Corels (class in ethicml.models.inprocess.manual) count() (LabelGroup method) (TrainTestPair method) (TrainValPair method) create_data_obj() (in module ethicml.data) Credit (class in ethicml.data) CreditSplits (class in ethicml.data) Crime (class in ethicml.data) CrimeSplits (class in ethicml.data) CrossValidator (class in ethicml.run) CSVDataset (class in ethicml.data) CSVDatasetDC (class in ethicml.data) CV (class in ethicml.metrics) CVResults (class in ethicml.run)

D

Dataset (class in ethicml.data) dataset_from_cond() (in module ethicml.preprocessing) DataSplitter (class in ethicml.preprocessing) DataTuple (class in ethicml.utility) deep (ModelType attribute) DependencyTarget (class in ethicml.metrics) diff_per_sens() (in module ethicml.metrics) DIFFS (PerSens attribute) DIFFS_RATIOS (PerSens attribute) disc_feature_groups (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (Dataset property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) disc_first (FeatureOrder attribute) discard_non_one_hot (Admissions attribute) (Adult attribute) (Compas attribute) (Credit attribute) (Crime attribute) (CSVDataset attribute) (CSVDatasetDC attribute) (German attribute) (Health attribute) (Law attribute) (LegacyDataset attribute) (Lipton attribute) (NonBinaryToy attribute) (Nursery attribute) (Sqf attribute) (StaticCSVDataset attribute) (Synthetic attribute) (Toy attribute)

DiscFeatureGroups (in module ethicml.data.util) discrete_features (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (Dataset property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) domain_split() (in module ethicml.preprocessing) dp (FairnessType attribute) DPFlip (class in ethicml.models.postprocess.dp_flip) DPOracle (class in ethicml.models.inprocess.oracle) DRO (class in ethicml.models.inprocess.fairness_wo_demographics)

E

eq_odds (FairnessType attribute) eq_opp (FairnessType attribute) ethicml module ethicml.data module ethicml.metrics module ethicml.models module ethicml.models.algorithm_base module ethicml.models.inprocess module ethicml.models.inprocess.agarwal_reductions module ethicml.models.inprocess.fairness_wo_demographics module ethicml.models.inprocess.in_algorithm module ethicml.models.inprocess.installed_model module ethicml.models.inprocess.kamiran module ethicml.models.inprocess.kamishima module ethicml.models.inprocess.logistic_regression module ethicml.models.inprocess.majority module ethicml.models.inprocess.manual module ethicml.models.inprocess.mlp module ethicml.models.inprocess.oracle module ethicml.models.inprocess.svm module ethicml.models.inprocess.zafar module ethicml.models.postprocess module

ethicml.models.postprocess.dp_flip module ethicml.models.postprocess.hardt module ethicml.models.postprocess.post_algorithm module ethicml.models.preprocess module ethicml.models.preprocess.beutel module ethicml.models.preprocess.calders module ethicml.models.preprocess.pre_algorithm module ethicml.models.preprocess.upsampler module ethicml.models.preprocess.vfae module ethicml.models.preprocess.zemel module ethicml.plot module ethicml.preprocessing module ethicml.run module ethicml.utility module EvalTuple (in module ethicml.utility.data_structures) evaluate_models() (in module ethicml.run) executable (Agarwal property) (Beutel property) (DRO property) (InstalledModel property) (Kamishima property) (SubprocessAlgorithmMixin property) (VFAE property) (ZafarAccuracy property) (ZafarBaseline property) (ZafarEqOdds property) (ZafarEqOpp property) (ZafarFairness property) (Zemel property)

F

F1 (class in ethicml.metrics) FairnessType (class in ethicml.utility) feature_split() (AcsEmployment method) (AcsIncome method) (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (Dataset method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method) FeatureOrder (class in ethicml.data) features_to_remove (AcsEmployment property) (AcsIncome property) FeatureSplit (class in ethicml.data) filepath (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) filter_and_map_results() (in module ethicml.utility) filter_features_by_prefixes() (in module ethicml.data)

filter_results() (in module ethicml.utility) fit() (Agarwal method) (Beutel method) (Calders method) (Corels method) (DPFlip method) (DPOracle method) (DRO method) (Hardt method) (InAlgorithm method) (InAlgorithmDC method) (InAlgorithmNoParams method) (InstalledModel method) (Kamishima method) (LR method) (LRCV method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (PreAlgorithm method) (Reweighting method) (ScalerType method) (SVM method) (Upsampler method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method) fit_transform() (ScalerType method) flatten_dict() (in module ethicml.data) FNR (class in ethicml.metrics) FPR (class in ethicml.metrics) from_df() (DataTuple class method) (LabelTuple class method) (SubgroupTuple class method) from_dummies() (in module ethicml.data) from_file() (DataTuple class method) (Prediction static method) (SoftPrediction static method) (SubgroupTuple class method) from_np() (LabelTuple class method) (Prediction class method) (SoftPrediction class method) fromkeys() (FeatureSplit method)

G

gbt (ClassifierType attribute) German (class in ethicml.data) GermanSplits (class in ethicml.data) get() (FeatureSplit method) get_best_in_top_k() (CVResults method) get_best_result() (CVResults method) get_biased_and_debiased_subsets() (in module ethicml.preprocessing) get_biased_subset() (in module ethicml.preprocessing) get_dataset_obj_by_name() (in module ethicml.data) get_discrete_features() (in module ethicml.data) get_filename_or_path() (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method) get_label_specs() (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method) get_n_samples() (DataTuple method) (LabelTuple method) (SubgroupTuple method) get_name() (AbsCV method) (Accuracy method) (Activation method) (AS method) (AverageOddsDiff method) (BalancedAccuracy method) (BCR method) (CfmMetric method) (CV method) (F1 method) (FNR method) (FPR method) (Heaviside method) (Hsic method) (Metric method) (MetricStaticName method) (NMI method) (NPV method) (PPV method) (ProbNeg method) (ProbOutcome method) (ProbPos method) (RenyiCorrelation method) (RobustAccuracy method) (SklearnMetric method) (Theil method) (TNR method) (TPR method) (Yanovich method)

get_num_samples() (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method) get_s_subset() (DataTuple method) (LabelTuple method) (Prediction method) (SoftPrediction method) (SubgroupTuple method) group_disc_feat_indices() (in module ethicml.data)

H

hard (Prediction property) (SoftPrediction property) Hardt (class in ethicml.models.postprocess.hardt) Health (class in ethicml.data) HealthSplits (class in ethicml.data) Heaviside (class in ethicml.utility) Hsic (class in ethicml.metrics) hyperparameters (Agarwal property) (Corels property) (DPOracle property) (DRO property) (InAlgorithm property) (InAlgorithmDC property) (InAlgorithmNoParams property) (InstalledModel property) (Kamishima property) (LR property) (LRCV property) (Majority property) (MLP property) (Oracle property) (Reweighting property) (SVM property) (ZafarAccuracy property) (ZafarBaseline property) (ZafarEqOdds property) (ZafarEqOpp property) (ZafarFairness property)

HyperParamType (in module ethicml.utility.data_structures) HyperParamValue (in module ethicml.utility.data_structures)

I

InAlgorithm (class in ethicml.models.inprocess.in_algorithm) InAlgorithmDC (class in ethicml.models.inprocess.in_algorithm) InAlgorithmNoParams (class in ethicml.models.inprocess.in_algorithm) index() (LabelGroup method) (TrainTestPair method) (TrainValPair method) info (Prediction property) (SoftPrediction property) InstalledModel (class in ethicml.models.inprocess.installed_model) inverse_transform() (ScalerType method) invert_sens_attr (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property)

items() (FeatureSplit method)

K

Kamishima (class in ethicml.models.inprocess.kamishima)

KernelType (class in ethicml.utility) keys() (FeatureSplit method)

L

label_spec_to_feature_list() (in module ethicml.data) LabelBinarizer (class in ethicml.preprocessing) LabelGroup (class in ethicml.data) LabelOutOfBoundsError labels (AbsCV attribute) (AverageOddsDiff attribute) (BalancedAccuracy attribute) (BCR attribute) (CfmMetric attribute) (CV attribute) (FNR attribute) (FPR attribute) (NPV attribute) (PPV attribute) (ProbNeg attribute) (ProbPos attribute) (TNR attribute) (TPR attribute) LabelSpec (in module ethicml.data.util) LabelSpecsPair (class in ethicml.data) LabelTuple (class in ethicml.utility) Law (class in ethicml.data) LawSplits (class in ethicml.data) LegacyDataset (class in ethicml.data) linear (KernelType attribute) (ModelType attribute) Lipton (class in ethicml.data) load() (AcsEmployment method) (AcsIncome method) (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (Dataset method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method)

load_aif() (Admissions method) (Adult method) (Compas method) (Credit method) (Crime method) (CSVDataset method) (CSVDatasetDC method) (German method) (Health method) (Law method) (LegacyDataset method) (Lipton method) (NonBinaryToy method) (Nursery method) (Sqf method) (StaticCSVDataset method) (Synthetic method) (Toy method) load_data() (in module ethicml.data) load_discrete_only (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property) load_results() (in module ethicml.run) LR (class in ethicml.models.inprocess.logistic_regression) lr (ClassifierType attribute) LRCV (class in ethicml.models.inprocess.logistic_regression)

M

Majority (class in ethicml.models.inprocess.majority) make_results() (in module ethicml.utility) map_over_results_index() (in module ethicml.utility) map_to_binary (Admissions attribute) (Adult attribute) (Compas attribute) (Credit attribute) (Crime attribute) (CSVDataset attribute) (CSVDatasetDC attribute) (German attribute) (Health attribute) (Law attribute) (LegacyDataset attribute) (Lipton attribute) (NonBinaryToy attribute) (Nursery attribute) (Sqf attribute) (StaticCSVDataset attribute) (Synthetic attribute) (Toy attribute) MAX (PerSens attribute) max_per_sens() (in module ethicml.metrics) Metric (class in ethicml.metrics) metric_per_sens() (in module ethicml.metrics) MetricNotApplicableError MetricStaticName (class in ethicml.metrics) MIN (PerSens attribute) MIN_MAX (PerSens attribute) min_per_sens() (in module ethicml.metrics) MLP (class in ethicml.models.inprocess.mlp) model_path (Agarwal property) (Beutel property) (DRO property) (VFAE property) (Zemel property)

ModelType (class in ethicml.utility) module ethicml ethicml.data ethicml.metrics ethicml.models ethicml.models.algorithm_base ethicml.models.inprocess ethicml.models.inprocess.agarwal_reductions ethicml.models.inprocess.fairness_wo_demographics ethicml.models.inprocess.in_algorithm ethicml.models.inprocess.installed_model ethicml.models.inprocess.kamiran ethicml.models.inprocess.kamishima ethicml.models.inprocess.logistic_regression ethicml.models.inprocess.majority ethicml.models.inprocess.manual ethicml.models.inprocess.mlp ethicml.models.inprocess.oracle ethicml.models.inprocess.svm ethicml.models.inprocess.zafar ethicml.models.postprocess ethicml.models.postprocess.dp_flip ethicml.models.postprocess.hardt ethicml.models.postprocess.post_algorithm ethicml.models.preprocess ethicml.models.preprocess.beutel ethicml.models.preprocess.calders ethicml.models.preprocess.pre_algorithm ethicml.models.preprocess.upsampler ethicml.models.preprocess.vfae ethicml.models.preprocess.zemel ethicml.plot ethicml.preprocessing ethicml.run ethicml.utility multiplier (LabelGroup attribute)

N

name (AbsCV property) (Accuracy property) (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Agarwal property) (Algorithm property) (AS property) (AverageOddsDiff property) (BalancedAccuracy property) (BCR property) (Beutel property) (Calders property) (CfmMetric property) (Compas property) (Corels property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (CV property) (Dataset property) (DPFlip property) (DPOracle property) (DRO property) (F1 property) (FNR property) (FPR property) (German property) (Hardt property) (Health property) (Hsic property) (InAlgorithm property) (InAlgorithmDC property) (InAlgorithmNoParams property) (InstalledModel property) (Kamishima property) (Law property) (LegacyDataset property) (Lipton property) (LR property) (LRCV property) (Majority property) (Metric property) (MetricStaticName property) (MLP property) (NMI property) (NonBinaryToy property) (NPV property) (Nursery property) (Oracle property) (PostAlgorithm property) (PPV property) (PreAlgorithm property) (ProbNeg property) (ProbOutcome property) (ProbPos property) (RenyiCorrelation property) (Reweighting property) (RobustAccuracy property) (SklearnMetric property) (Sqf property) (StaticCSVDataset property) (SVM property) (Synthetic property) (Theil property) (TNR property) (Toy property) (TPR property) (Upsampler property) (VFAE property) (Yanovich property) (ZafarAccuracy property) (ZafarBaseline property) (ZafarEqOdds property) (ZafarEqOpp property) (ZafarFairness property) (Zemel property)

NMI (class in ethicml.metrics) NonBinaryToy (class in ethicml.data) NPV (class in ethicml.metrics) Nursery (class in ethicml.data) NurserySplits (class in ethicml.data)

O

one_hot_encode_and_combine() (in module ethicml.data) Oracle (class in ethicml.models.inprocess.oracle) out_size (Beutel property) (Calders property) (PreAlgorithm property) (Upsampler property) (VFAE property) (Zemel property)

P

per_sens_metrics_check() (in module ethicml.metrics) PerSens (class in ethicml.metrics) plot_results() (in module ethicml.plot) poly (KernelType attribute) pop() (FeatureSplit method) popitem() (FeatureSplit method) pos_class (AbsCV attribute) (AverageOddsDiff attribute) (BalancedAccuracy attribute) (BCR attribute) (CfmMetric attribute) (CV attribute) (FNR attribute) (FPR attribute) (NPV attribute) (PPV attribute) (ProbNeg attribute) (ProbPos attribute) (TNR attribute) (TPR attribute) post() (LabelBinarizer method) post_only_labels() (LabelBinarizer method) PostAlgorithm (class in ethicml.models.postprocess.post_algorithm) PPV (class in ethicml.metrics) PreAlgorithm (class in ethicml.models.preprocess.pre_algorithm) predict() (Agarwal method) (Corels method) (DPFlip method) (DPOracle method) (DRO method) (Hardt method) (InAlgorithm method) (InAlgorithmDC method) (InAlgorithmNoParams method) (InstalledModel method) (Kamishima method) (LR method) (LRCV method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (Reweighting method) (SVM method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method)

Prediction (class in ethicml.utility) ProbNeg (class in ethicml.metrics) ProbOutcome (class in ethicml.metrics) ProbPos (class in ethicml.metrics) ProportionalSplit (class in ethicml.preprocessing)

Q

query_dt() (in module ethicml.preprocessing)

R

RandomSplit (class in ethicml.preprocessing) ratio_per_sens() (in module ethicml.metrics) RATIOS (PerSens attribute) rbf (KernelType attribute) reduce_feature_group() (in module ethicml.data) remove() (InstalledModel method) (Kamishima method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) remove_y() (DataTuple method) rename() (DataTuple method) (LabelTuple method) (SubgroupTuple method) RenyiCorrelation (class in ethicml.metrics) replace() (DataTuple method) (LabelTuple method) (SubgroupTuple method) replace_data() (DataTuple method) (LabelTuple method) (SubgroupTuple method) Results (class in ethicml.utility.data_structures) results (ResultsAggregator property) ResultsAggregator (class in ethicml.utility) Reweighting (class in ethicml.models.inprocess.kamiran) RobustAccuracy (class in ethicml.metrics) run() (Agarwal method) (Beutel method) (Calders method) (Corels method) (CrossValidator method) (DPFlip method) (DPOracle method) (DRO method) (Hardt method) (InAlgorithm method) (InAlgorithmDC method) (InAlgorithmNoParams method) (InstalledModel method) (Kamishima method) (LR method) (LRCV method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (PreAlgorithm method) (Reweighting method) (SVM method) (Upsampler method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method)

run_async() (CrossValidator method) run_in_parallel() (in module ethicml.run) run_metrics() (in module ethicml.metrics) run_test() (Agarwal method) (Beutel method) (Calders method) (Corels method) (DPOracle method) (DRO method) (InAlgorithm method) (InAlgorithmDC method) (InAlgorithmNoParams method) (InstalledModel method) (Kamishima method) (LR method) (LRCV method) (Majority method) (MLP method) (Oracle method) (PreAlgorithm method) (Reweighting method) (SVM method) (Upsampler method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method)

S

s (DataTuple property) (LabelTuple property) (SubgroupTuple property) save_2d_plot() (in module ethicml.plot) save_as_csv() (ResultsAggregator method) save_jointplot() (in module ethicml.plot) save_label_plot() (in module ethicml.plot) save_multijointplot() (in module ethicml.plot) save_to_file() (DataTuple method) (Prediction method) (SoftPrediction method) (SubgroupTuple method) scale_continuous() (in module ethicml.preprocessing) ScalerType (class in ethicml.preprocessing) Scenarios (Synthetic attribute) score() (AbsCV method) (Accuracy method) (AS method) (AverageOddsDiff method) (BalancedAccuracy method) (BCR method) (CfmMetric method) (CV method) (F1 method) (FNR method) (FPR method) (Hsic method) (Metric method) (MetricStaticName method) (NMI method) (NPV method) (PPV method) (ProbNeg method) (ProbOutcome method) (ProbPos method) (RenyiCorrelation method) (RobustAccuracy method) (SklearnMetric method) (Theil method) (TNR method) (TPR method) (Yanovich method) sens_attrs (AcsEmployment property) (AcsIncome property) (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property)

SequentialSplit (class in ethicml.preprocessing) setdefault() (FeatureSplit method) shuffle_df() (in module ethicml.utility) sigmoid (KernelType attribute) single_col_spec() (in module ethicml.data) single_plot() (in module ethicml.plot) SklearnMetric (class in ethicml.metrics) soft (SoftPrediction property) SoftPrediction (class in ethicml.utility) spec_from_binary_cols() (in module ethicml.data) Splits (Admissions attribute) (Adult attribute) (Compas attribute) (Credit attribute) (Crime attribute) (German attribute) (Health attribute) (Law attribute) (Nursery attribute) (Sqf attribute) Sqf (class in ethicml.data) SqfSplits (class in ethicml.data) StaticCSVDataset (class in ethicml.data) SubgroupTuple (class in ethicml.utility) SubprocessAlgorithmMixin (class in ethicml.models.algorithm_base) SVM (class in ethicml.models.inprocess.svm) svm (ClassifierType attribute) Synthetic (class in ethicml.data) SyntheticScenarios (class in ethicml.data) SyntheticTargets (class in ethicml.data)

T

Targets (Synthetic attribute) test (TrainTestPair attribute) (TrainValPair attribute) TestTuple (in module ethicml.utility.data_structures) Theil (class in ethicml.metrics) TNR (class in ethicml.metrics) Toy (class in ethicml.data) TPR (class in ethicml.metrics) train (TrainTestPair attribute) (TrainValPair attribute)

train_test_split() (in module ethicml.preprocessing) TrainTestPair (class in ethicml.utility) TrainValPair (class in ethicml.utility) transform() (Beutel method) (Calders method) (PreAlgorithm method) (ScalerType method) (Upsampler method) (VFAE method) (Zemel method)

U

undo_one_hot() (in module ethicml.utility) unfiltered_disc_feat_groups (Admissions property) (Adult property) (Compas property) (Credit property) (Crime property) (CSVDataset property) (CSVDatasetDC property) (German property) (Health property) (Law property) (LegacyDataset property) (Lipton property) (NonBinaryToy property) (Nursery property) (Sqf property) (StaticCSVDataset property) (Synthetic property) (Toy property)

update() (FeatureSplit method) Upsampler (class in ethicml.models.preprocess.upsampler) UpsampleStrategy (class in ethicml.models.preprocess.upsampler)

V

values() (FeatureSplit method)

VFAE (class in ethicml.models.preprocess.vfae)

W

with_traceback() (LabelOutOfBoundsError method) (MetricNotApplicableError method)

X

x (DataTuple property) (SubgroupTuple property)

Y

y (DataTuple property) (LabelTuple property)

Yanovich (class in ethicml.metrics)

Z

ZafarAccuracy (class in ethicml.models.inprocess.zafar) ZafarBaseline (class in ethicml.models.inprocess.zafar) ZafarEqOdds (class in ethicml.models.inprocess.zafar)

ZafarEqOpp (class in ethicml.models.inprocess.zafar) ZafarFairness (class in ethicml.models.inprocess.zafar) Zemel (class in ethicml.models.preprocess.zemel)