Index _ | A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z _ __len__() (Adult method) (CelebA method) (Compas method) (Credit method) (Crime method) (Dataset method) (DatasetWrapper method) (DataTuple method) (FeatureSplit method) (German method) (Health method) (LabelGroup method) (LdTransformedDataset method) (LoadableDataset method) (NonBinaryToy method) (Prediction method) (SoftPrediction method) (Sqf method) (Synthetic method) (TorchImageDataset method) (Toy method) (TrainTestPair method) A AbsCV (class in ethicml.metrics) Accuracy (class in ethicml.metrics) Activation (class in ethicml.utility) adjust() (LabelBinarizer method) Adult (class in ethicml.data.tabular_data.adult) adult() (in module ethicml.data.tabular_data.adult) AdultSplits (class in ethicml.data.tabular_data.adult) Agarwal (class in ethicml.algorithms.inprocess.agarwal_reductions) aggregate_results() (in module ethicml.utility) Algorithm (class in ethicml.algorithms.algorithm_base) append_df() (ResultsAggregator method) append_from_csv() (ResultsAggregator method) apply() (Activation method) (Heaviside method) apply_per_sensitive (Metric attribute) (SklearnMetric attribute) apply_to_joined_df() (DataTuple method) arrange_in_parallel() (in module ethicml.evaluators.parallelism) AS (class in ethicml.metrics) available_tabular() (in module ethicml.data.lookup) 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.algorithms.preprocess.beutel) BiasedDebiasedSubsets (class in ethicml.preprocessing) BiasedSubset (class in ethicml.preprocessing) bin_cont_feats() (in module ethicml.preprocessing) C Calders (class in ethicml.algorithms.preprocess.calders) CelebA (class in ethicml.data.vision_data.celeba) celeba() (in module ethicml.data.vision_data.celeba) CELEBA_BASE_FOLDER (in module ethicml.data.vision_data.celeba) CELEBA_FILE_LIST (in module ethicml.data.vision_data.celeba) class_labels (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) clear() (FeatureSplit method) columns (LabelGroup attribute) Compas (class in ethicml.data.tabular_data.compas) compas() (in module ethicml.data.tabular_data.compas) CompasSplits (class in ethicml.data.tabular_data.compas) compute_instance_weights() (in module ethicml.algorithms.inprocess.kamiran) concat_dt() (in module ethicml.utility) concat_tt() (in module ethicml.utility) confusion_matrix() (in module ethicml.metrics) continuous_features (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) copy() (FeatureSplit method) Corels (class in ethicml.algorithms.inprocess.manual) count() (LabelGroup method) (TrainTestPair method) create_celeba_dataset() (in module ethicml.vision) create_cmnist_datasets() (in module ethicml.vision) create_data_obj() (in module ethicml.data.load) create_genfaces_dataset() (in module ethicml.vision) Credit (class in ethicml.data.tabular_data.credit) credit() (in module ethicml.data.tabular_data.credit) CreditSplits (class in ethicml.data.tabular_data.credit) Crime (class in ethicml.data.tabular_data.crime) crime() (in module ethicml.data.tabular_data.crime) CrimeSplits (class in ethicml.data.tabular_data.crime) CrossValidator (class in ethicml.evaluators.cross_validator) CV (class in ethicml.metrics) CVResults (class in ethicml.evaluators.cross_validator) D Dataset (class in ethicml.data.dataset) dataset_from_cond() (in module ethicml.preprocessing) DatasetWrapper (class in ethicml.vision) DataSplitter (class in ethicml.preprocessing) DataTuple (class in ethicml.utility) DependencyTarget (class in ethicml.metrics) deprecated() (in module ethicml.data.util) diff_per_sensitive_attribute() (in module ethicml.metrics.per_sensitive_attribute) disc_feature_groups (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) discrete_features (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) domain_split() (in module ethicml.preprocessing) DPFlip (class in ethicml.algorithms.postprocess.dp_flip) DPOracle (class in ethicml.algorithms.inprocess.oracle) DRO (class in ethicml.algorithms.inprocess.fairness_wo_demographics) E ethicml.algorithms module ethicml.algorithms.algorithm_base module ethicml.algorithms.inprocess module ethicml.algorithms.inprocess.agarwal_reductions module ethicml.algorithms.inprocess.fairness_wo_demographics module ethicml.algorithms.inprocess.in_algorithm module ethicml.algorithms.inprocess.installed_model module ethicml.algorithms.inprocess.kamiran module ethicml.algorithms.inprocess.kamishima module ethicml.algorithms.inprocess.logistic_regression module ethicml.algorithms.inprocess.majority module ethicml.algorithms.inprocess.manual module ethicml.algorithms.inprocess.mlp module ethicml.algorithms.inprocess.oracle module ethicml.algorithms.inprocess.svm module ethicml.algorithms.inprocess.zafar module ethicml.algorithms.postprocess module ethicml.algorithms.postprocess.dp_flip module ethicml.algorithms.postprocess.hardt module ethicml.algorithms.postprocess.post_algorithm module ethicml.algorithms.preprocess module ethicml.algorithms.preprocess.beutel module ethicml.algorithms.preprocess.calders module ethicml.algorithms.preprocess.pre_algorithm module ethicml.algorithms.preprocess.upsampler module ethicml.algorithms.preprocess.vfae module ethicml.algorithms.preprocess.zemel module ethicml.data module ethicml.data.dataset module ethicml.data.load module ethicml.data.lookup module ethicml.data.tabular_data.adult module ethicml.data.tabular_data.compas module ethicml.data.tabular_data.credit module ethicml.data.tabular_data.crime module ethicml.data.tabular_data.german module ethicml.data.tabular_data.health module ethicml.data.tabular_data.non_binary_toy module ethicml.data.tabular_data.sqf module ethicml.data.tabular_data.synthetic module ethicml.data.tabular_data.toy module ethicml.data.util module ethicml.data.vision_data.celeba module ethicml.data.vision_data.genfaces module ethicml.evaluators module ethicml.evaluators.cross_validator module ethicml.evaluators.evaluate_models module ethicml.evaluators.parallelism module ethicml.metrics module ethicml.metrics.per_sensitive_attribute module ethicml.preprocessing module ethicml.utility module ethicml.vision module ethicml.visualisation module evaluate_models() (in module ethicml.evaluators.evaluate_models) evaluate_models_async() (in module ethicml.evaluators.evaluate_models) expand_labels() (Adult method) (CelebA method) (Compas method) (Credit method) (Crime method) (Dataset method) (German method) (Health method) (LoadableDataset method) (NonBinaryToy method) (Sqf method) (Synthetic method) (Toy method) F F1 (class in ethicml.metrics) feature_split (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) features_to_remove (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) FeatureSplit (class in ethicml.data.dataset) filepath (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) filter_and_map_results() (in module ethicml.utility) filter_features_by_prefixes() (in module ethicml.data.util) 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) (InAlgorithmAsync method) (InAlgorithmDC method) (InstalledModel method) (Kamiran method) (Kamishima method) (LR method) (LRCV method) (LRProb method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (PostAlgorithmDC method) (PreAlgorithm method) (PreAlgorithmAsync method) (PreAlgorithmDC method) (SVM method) (Upsampler method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method) FNR (class in ethicml.metrics) FPR (class in ethicml.metrics) from_npz() (DataTuple class method) (Prediction static method) (SoftPrediction static method) (TestTuple class method) fromkeys() (FeatureSplit method) G genfaces() (in module ethicml.data.vision_data.genfaces) German (class in ethicml.data.tabular_data.german) german() (in module ethicml.data.tabular_data.german) GermanSplits (class in ethicml.data.tabular_data.german) 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.lookup) get_discrete_features() (in module ethicml.data.util) get_name() (Activation method) (Heaviside method) get_subset() (DataTuple method) group_disc_feat_indexes() (in module ethicml.data.util) H hard (Prediction property) (SoftPrediction property) Hardt (class in ethicml.algorithms.postprocess.hardt) Health (class in ethicml.data.tabular_data.health) health() (in module ethicml.data.tabular_data.health) HealthSplits (class in ethicml.data.tabular_data.health) Heaviside (class in ethicml.utility) Hsic (class in ethicml.metrics) hyperparameters (Agarwal property) (Corels property) (DPOracle property) (DRO property) (InAlgorithm property) (InAlgorithmAsync property) (InAlgorithmDC property) (InstalledModel property) (Kamiran property) (Kamishima property) (LR property) (LRCV property) (LRProb property) (Majority property) (MLP property) (Oracle property) (SVM property) (ZafarAccuracy property) (ZafarBaseline property) (ZafarEqOdds property) (ZafarEqOpp property) (ZafarFairness property) I InAlgorithm (class in ethicml.algorithms.inprocess.in_algorithm) InAlgorithmAsync (class in ethicml.algorithms.inprocess.in_algorithm) InAlgorithmDC (class in ethicml.algorithms.inprocess.in_algorithm) index() (LabelGroup method) (TrainTestPair method) info (Prediction property) (SoftPrediction property) InstalledModel (class in ethicml.algorithms.inprocess.installed_model) items() (FeatureSplit method) K Kamiran (class in ethicml.algorithms.inprocess.kamiran) Kamishima (class in ethicml.algorithms.inprocess.kamishima) keys() (FeatureSplit method) L label_spec_to_feature_list() (in module ethicml.data.util) LabelBinarizer (class in ethicml.preprocessing) LabelGroup (class in ethicml.data.util) LabelOutOfBounds LdColorizer (class in ethicml.vision) LdTransformation (class in ethicml.vision) LdTransformedDataset (class in ethicml.vision) load() (Adult method) (CelebA method) (Compas method) (Credit method) (Crime method) (Dataset method) (German method) (Health method) (LoadableDataset method) (NonBinaryToy method) (Sqf method) (Synthetic method) (Toy method) load_aif() (Adult method) (CelebA method) (Compas method) (Credit method) (Crime method) (German method) (Health method) (LoadableDataset method) (NonBinaryToy method) (Sqf method) (Synthetic method) (Toy method) load_data() (in module ethicml.data.load) load_results() (in module ethicml.evaluators.evaluate_models) LoadableDataset (class in ethicml.data.dataset) LR (class in ethicml.algorithms.inprocess.logistic_regression) LRCV (class in ethicml.algorithms.inprocess.logistic_regression) LRProb (class in ethicml.algorithms.inprocess.logistic_regression) M Majority (class in ethicml.algorithms.inprocess.majority) make_results() (in module ethicml.utility) map_over_results_index() (in module ethicml.utility) Metric (class in ethicml.metrics) metric_per_sensitive_attribute() (in module ethicml.metrics.per_sensitive_attribute) MetricNotApplicable MLP (class in ethicml.algorithms.inprocess.mlp) module ethicml.algorithms ethicml.algorithms.algorithm_base ethicml.algorithms.inprocess ethicml.algorithms.inprocess.agarwal_reductions ethicml.algorithms.inprocess.fairness_wo_demographics ethicml.algorithms.inprocess.in_algorithm ethicml.algorithms.inprocess.installed_model ethicml.algorithms.inprocess.kamiran ethicml.algorithms.inprocess.kamishima ethicml.algorithms.inprocess.logistic_regression ethicml.algorithms.inprocess.majority ethicml.algorithms.inprocess.manual ethicml.algorithms.inprocess.mlp ethicml.algorithms.inprocess.oracle ethicml.algorithms.inprocess.svm ethicml.algorithms.inprocess.zafar ethicml.algorithms.postprocess ethicml.algorithms.postprocess.dp_flip ethicml.algorithms.postprocess.hardt ethicml.algorithms.postprocess.post_algorithm ethicml.algorithms.preprocess ethicml.algorithms.preprocess.beutel ethicml.algorithms.preprocess.calders ethicml.algorithms.preprocess.pre_algorithm ethicml.algorithms.preprocess.upsampler ethicml.algorithms.preprocess.vfae ethicml.algorithms.preprocess.zemel ethicml.data ethicml.data.dataset ethicml.data.load ethicml.data.lookup ethicml.data.tabular_data.adult ethicml.data.tabular_data.compas ethicml.data.tabular_data.credit ethicml.data.tabular_data.crime ethicml.data.tabular_data.german ethicml.data.tabular_data.health ethicml.data.tabular_data.non_binary_toy ethicml.data.tabular_data.sqf ethicml.data.tabular_data.synthetic ethicml.data.tabular_data.toy ethicml.data.util ethicml.data.vision_data.celeba ethicml.data.vision_data.genfaces ethicml.evaluators ethicml.evaluators.cross_validator ethicml.evaluators.evaluate_models ethicml.evaluators.parallelism ethicml.metrics ethicml.metrics.per_sensitive_attribute ethicml.preprocessing ethicml.utility ethicml.vision ethicml.visualisation multiplier (LabelGroup attribute) N name (AbsCV property) (Accuracy property) (Adult property) (Agarwal property) (Algorithm property) (AS property) (AverageOddsDiff property) (BalancedAccuracy property) (BCR property) (Beutel property) (Calders property) (CelebA property) (Compas property) (Corels property) (Credit property) (Crime property) (CV property) (Dataset property) (DataTuple property) (DPFlip property) (DPOracle property) (DRO property) (F1 property) (FNR property) (FPR property) (German property) (Hardt property) (Health property) (Hsic property) (InAlgorithm property) (InAlgorithmAsync property) (InAlgorithmDC property) (InstalledModel property) (Kamiran property) (Kamishima property) (LoadableDataset property) (LR property) (LRCV property) (LRProb property) (Majority property) (Metric property) (MLP property) (NMI property) (NonBinaryToy property) (NPV property) (Oracle property) (PostAlgorithm property) (PostAlgorithmDC property) (PPV property) (PreAlgorithm property) (PreAlgorithmAsync property) (PreAlgorithmDC property) (ProbNeg property) (ProbOutcome property) (ProbPos property) (RenyiCorrelation property) (SklearnMetric property) (Sqf property) (SVM property) (Synthetic property) (TestTuple 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) new_sensitive() (TorchImageDataset method) new_task() (TorchImageDataset method) NMI (class in ethicml.metrics) NoisyDequantize (class in ethicml.vision) nonbinary_toy() (in module ethicml.data.tabular_data.non_binary_toy) NonBinaryToy (class in ethicml.data.tabular_data.non_binary_toy) NPV (class in ethicml.metrics) O Oracle (class in ethicml.algorithms.inprocess.oracle) ordered_features (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) out_size (Beutel property) (Calders property) (PreAlgorithm property) (PreAlgorithmAsync property) (PreAlgorithmDC property) (Upsampler property) (VFAE property) (Zemel property) P plot_results() (in module ethicml.visualisation) pop() (FeatureSplit method) popitem() (FeatureSplit method) post() (LabelBinarizer method) post_only_labels() (LabelBinarizer method) PostAlgorithm (class in ethicml.algorithms.postprocess.post_algorithm) PostAlgorithmDC (class in ethicml.algorithms.postprocess.post_algorithm) PPV (class in ethicml.metrics) PreAlgorithm (class in ethicml.algorithms.preprocess.pre_algorithm) PreAlgorithmAsync (class in ethicml.algorithms.preprocess.pre_algorithm) PreAlgorithmDC (class in ethicml.algorithms.preprocess.pre_algorithm) predict() (Agarwal method) (Corels method) (DPFlip method) (DPOracle method) (DRO method) (Hardt method) (InAlgorithm method) (InAlgorithmAsync method) (InAlgorithmDC method) (InstalledModel method) (Kamiran method) (Kamishima method) (LR method) (LRCV method) (LRProb method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (PostAlgorithmDC 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 Quantize (class in ethicml.vision) query_dt() (in module ethicml.preprocessing) R RandomSplit (class in ethicml.preprocessing) ratio_per_sensitive_attribute() (in module ethicml.metrics.per_sensitive_attribute) remove() (InstalledModel method) (Kamishima method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) remove_y() (DataTuple method) RenyiCorrelation (class in ethicml.metrics) replace() (DataTuple method) (TestTuple method) results (ResultsAggregator property) ResultsAggregator (class in ethicml.utility) run() (Agarwal method) (Beutel method) (Calders method) (Corels method) (CrossValidator method) (DPFlip method) (DPOracle method) (DRO method) (Hardt method) (InAlgorithm method) (InAlgorithmAsync method) (InAlgorithmDC method) (InstalledModel method) (Kamiran method) (Kamishima method) (LR method) (LRCV method) (LRProb method) (Majority method) (MLP method) (Oracle method) (PostAlgorithm method) (PostAlgorithmDC method) (PreAlgorithm method) (PreAlgorithmAsync method) (PreAlgorithmDC 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.evaluators.parallelism) run_metrics() (in module ethicml.evaluators.evaluate_models) run_test() (Agarwal method) (Beutel method) (Calders method) (Corels method) (DPOracle method) (DRO method) (InAlgorithm method) (InAlgorithmAsync method) (InAlgorithmDC method) (InstalledModel method) (Kamiran method) (Kamishima method) (LR method) (LRCV method) (LRProb method) (Majority method) (MLP method) (Oracle method) (PreAlgorithm method) (PreAlgorithmAsync method) (PreAlgorithmDC method) (SVM method) (Upsampler method) (VFAE method) (ZafarAccuracy method) (ZafarBaseline method) (ZafarEqOdds method) (ZafarEqOpp method) (ZafarFairness method) (Zemel method) S s (DataTuple property) (TestTuple property) save_2d_plot() (in module ethicml.visualisation) save_as_csv() (ResultsAggregator method) save_jointplot() (in module ethicml.visualisation) save_label_plot() (in module ethicml.visualisation) save_multijointplot() (in module ethicml.visualisation) scale_continuous() (in module ethicml.preprocessing) score() (AbsCV method) (Accuracy method) (AS method) (AverageOddsDiff method) (BalancedAccuracy method) (BCR method) (CV method) (F1 method) (FNR method) (FPR method) (Hsic method) (Metric method) (NMI method) (NPV method) (PPV method) (ProbNeg method) (ProbOutcome method) (ProbPos method) (RenyiCorrelation method) (SklearnMetric method) (Theil method) (TNR method) (TPR method) (Yanovich method) sens_attrs (Adult property) (CelebA property) (Compas property) (Credit property) (Crime property) (Dataset property) (German property) (Health property) (LoadableDataset property) (NonBinaryToy property) (Sqf property) (Synthetic property) (Toy property) SequentialSplit (class in ethicml.preprocessing) set_transform() (in module ethicml.vision) setdefault() (FeatureSplit method) shuffle_df() (in module ethicml.utility) simple_spec() (in module ethicml.data.util) single_plot() (in module ethicml.visualisation) SklearnMetric (class in ethicml.metrics) soft (SoftPrediction property) SoftPrediction (class in ethicml.utility) Sqf (class in ethicml.data.tabular_data.sqf) sqf() (in module ethicml.data.tabular_data.sqf) SqfSplits (class in ethicml.data.tabular_data.sqf) SubprocessAlgorithmMixin (class in ethicml.algorithms.algorithm_base) SVM (class in ethicml.algorithms.inprocess.svm) Synthetic (class in ethicml.data.tabular_data.synthetic) synthetic() (in module ethicml.data.tabular_data.synthetic) SyntheticScenarios (class in ethicml.data.tabular_data.synthetic) SyntheticTargets (class in ethicml.data.tabular_data.synthetic) T test (TrainTestPair attribute) TestTuple (class in ethicml.utility) Theil (class in ethicml.metrics) TNR (class in ethicml.metrics) to_npz() (DataTuple method) (Prediction method) (SoftPrediction method) (TestTuple method) TorchImageDataset (class in ethicml.vision) Toy (class in ethicml.data.tabular_data.toy) toy() (in module ethicml.data.tabular_data.toy) TPR (class in ethicml.metrics) train (TrainTestPair attribute) train_test_split() (in module ethicml.preprocessing) (in module ethicml.vision) TrainTestPair (class in ethicml.utility) transform (DatasetWrapper property) (LdTransformedDataset property) transform() (Beutel method) (Calders method) (PreAlgorithm method) (PreAlgorithmAsync method) (PreAlgorithmDC method) (Upsampler method) (VFAE method) (Zemel method) U undo_one_hot() (in module ethicml.utility) update() (FeatureSplit method) Upsampler (class in ethicml.algorithms.preprocess.upsampler) V values() (FeatureSplit method) VFAE (class in ethicml.algorithms.preprocess.vfae) W with_traceback() (LabelOutOfBounds method) (MetricNotApplicable method) X x (DataTuple property) (TestTuple property) Y y (DataTuple property) Yanovich (class in ethicml.metrics) Z ZafarAccuracy (class in ethicml.algorithms.inprocess.zafar) ZafarBaseline (class in ethicml.algorithms.inprocess.zafar) ZafarEqOdds (class in ethicml.algorithms.inprocess.zafar) ZafarEqOpp (class in ethicml.algorithms.inprocess.zafar) ZafarFairness (class in ethicml.algorithms.inprocess.zafar) Zemel (class in ethicml.algorithms.preprocess.zemel)