Index A | B | C | D | E | F | G | I | L | M | N | P | R | S | T | U | Y A AdultGroup (class in fair_forge.datasets) adv_size (fair_forge.nn.beutel.Beutel attribute) adv_weight (fair_forge.nn.beutel.Beutel attribute) ALL (fair_forge.metrics.PerSens attribute) B base (fair_forge.metrics.RenyiCorrelation attribute) base_method (fair_forge.methods.Reweighting attribute) BASIC (fair_forge.eval.Split attribute) basic_split() (in module fair_forge.split) batch_size (fair_forge.nn.beutel.Beutel attribute) batched() (in module fair_forge.utils) Beutel (class in fair_forge.nn.beutel) Blind (class in fair_forge.methods) C cv() (in module fair_forge.metrics) D data (fair_forge.datasets.Dataset attribute) (fair_forge.datasets.GroupDataset attribute) Dataset (class in fair_forge.datasets) DependencyTarget (class in fair_forge.metrics) DIFF (fair_forge.metrics.PerSens attribute) DIFF_RATIO (fair_forge.metrics.PerSens attribute) DP (fair_forge.methods.FairnessType attribute) E enc_size (fair_forge.nn.beutel.Beutel attribute) EQ_ODDS (fair_forge.methods.FairnessType attribute) EQ_OPP (fair_forge.methods.FairnessType attribute) estimator (fair_forge.preprocessing.GroupPipeline attribute) evaluate() (in module fair_forge.eval) F fair_forge.datasets module fair_forge.eval module fair_forge.methods module fair_forge.metrics module fair_forge.nn.beutel module fair_forge.nn.utils module fair_forge.preprocessing module fair_forge.split module fair_forge.utils module fairness (fair_forge.nn.beutel.Beutel attribute) FairnessType (class in fair_forge.methods) feature_grouping (fair_forge.datasets.GroupDataset attribute) feature_names (fair_forge.datasets.Dataset attribute) (fair_forge.datasets.GroupDataset attribute) fit() (fair_forge.methods.Blind method) (fair_forge.methods.GroupMethod method) (fair_forge.methods.Majority method) (fair_forge.methods.Method method) (fair_forge.methods.Reweighting method) (fair_forge.methods.SampleWeightMethod method) (fair_forge.nn.beutel.Beutel method) (fair_forge.preprocessing.GroupBasedTransform method) (fair_forge.preprocessing.GroupDatasetModifier method) (fair_forge.preprocessing.GroupPipeline method) (fair_forge.preprocessing.Preprocessor method) (fair_forge.preprocessing.Upsampler method) fit_transform() (fair_forge.nn.beutel.Beutel method) (fair_forge.preprocessing.GroupBasedTransform method) G get_params() (fair_forge.methods.Blind method) (fair_forge.methods.Majority method) (fair_forge.methods.Reweighting method) group_data_modifier (fair_forge.preprocessing.GroupPipeline attribute) GroupBasedTransform (class in fair_forge.preprocessing) GroupDataset (class in fair_forge.datasets) GroupDatasetModifier (class in fair_forge.preprocessing) grouping_by_prefix() (in module fair_forge.datasets) GroupMethod (class in fair_forge.methods) GroupMetric (class in fair_forge.metrics) GroupPipeline (class in fair_forge.preprocessing) groups (fair_forge.datasets.GroupDataset attribute) I INDIVIDUAL (fair_forge.metrics.PerSens attribute) iterate_forever() (in module fair_forge.nn.utils) iters (fair_forge.nn.beutel.Beutel attribute) L learning_rate (fair_forge.nn.beutel.Beutel attribute) load_adult() (in module fair_forge.datasets) load_dummy_dataset() (in module fair_forge.datasets) load_ethicml_toy() (in module fair_forge.datasets) M Majority (class in fair_forge.methods) MAX (fair_forge.metrics.PerSens attribute) Method (class in fair_forge.methods) Metric (class in fair_forge.metrics) MIN (fair_forge.metrics.PerSens attribute) MIN_MAX (fair_forge.metrics.PerSens attribute) module fair_forge.datasets fair_forge.eval fair_forge.methods fair_forge.metrics fair_forge.nn.beutel fair_forge.nn.utils fair_forge.preprocessing fair_forge.split fair_forge.utils momentum (fair_forge.nn.beutel.Beutel attribute) N NAIVE (fair_forge.preprocessing.UpsampleStrategy attribute) name (fair_forge.datasets.GroupDataset attribute) P per_sens_metrics() (in module fair_forge.metrics) PerSens (class in fair_forge.metrics) pred_size (fair_forge.nn.beutel.Beutel attribute) predict() (fair_forge.methods.Blind method) (fair_forge.methods.Majority method) (fair_forge.methods.Reweighting method) (fair_forge.preprocessing.GroupPipeline method) Preprocessor (class in fair_forge.preprocessing) prob_neg() (in module fair_forge.metrics) prob_pos() (in module fair_forge.metrics) PROPORTIONAL (fair_forge.eval.Split attribute) proportional_split() (in module fair_forge.split) R RACE (fair_forge.datasets.AdultGroup attribute) random_state (fair_forge.methods.Blind attribute) (fair_forge.methods.Majority attribute) (fair_forge.nn.beutel.Beutel attribute) (fair_forge.preprocessing.GroupPipeline attribute) (fair_forge.preprocessing.Upsampler attribute) RATIO (fair_forge.metrics.PerSens attribute) RenyiCorrelation (class in fair_forge.metrics) reproducible_random_state() (in module fair_forge.utils) Reweighting (class in fair_forge.methods) S S (fair_forge.metrics.DependencyTarget attribute) SampleWeightMethod (class in fair_forge.methods) set_fit_request() (fair_forge.methods.Reweighting method) (fair_forge.nn.beutel.Beutel method) (fair_forge.preprocessing.GroupPipeline method) (fair_forge.preprocessing.Upsampler method) set_params() (fair_forge.preprocessing.GroupPipeline method) set_transform_request() (fair_forge.preprocessing.Upsampler method) SEX (fair_forge.datasets.AdultGroup attribute) Split (class in fair_forge.eval) SplitMethod (class in fair_forge.split) strategy (fair_forge.preprocessing.Upsampler attribute) T target (fair_forge.datasets.Dataset attribute) (fair_forge.datasets.GroupDataset attribute) tnr() (in module fair_forge.metrics) tpr() (in module fair_forge.metrics) transform() (fair_forge.nn.beutel.Beutel method) (fair_forge.preprocessing.GroupBasedTransform method) (fair_forge.preprocessing.GroupDatasetModifier method) (fair_forge.preprocessing.Preprocessor method) (fair_forge.preprocessing.Upsampler method) U UNIFORM (fair_forge.preprocessing.UpsampleStrategy attribute) update_random_state() (fair_forge.preprocessing.GroupPipeline method) Upsampler (class in fair_forge.preprocessing) UpsampleStrategy (class in fair_forge.preprocessing) Y Y (fair_forge.metrics.DependencyTarget attribute)