Index _ | A | B | C | D | E | F | G | H | I | L | M | N | P | R | S | T | U _ __call__() (fair_forge.data_metrics.DataMetric method) (fair_forge.data_metrics.DistanceFromUniform method) (fair_forge.data_metrics.LabelProportions method) (fair_forge.data_metrics.MissingDataProportions method) (fair_forge.metrics.GroupMetric method) (fair_forge.metrics.Metric method) (fair_forge.metrics.RenyiCorrelation method) (fair_forge.split.SplitMethod method) A ALL (fair_forge.metrics.MetricAgg attribute) as_group_metric() (in module fair_forge.metrics) B base (fair_forge.metrics.RenyiCorrelation attribute) base_method (fair_forge.methods.Reweighting attribute) basic_split() (in module fair_forge.split) 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.GroupDataset attribute) DataMetric (class in fair_forge.data_metrics) DIFF (fair_forge.metrics.MetricAgg attribute) DIFF_RATIO (fair_forge.metrics.MetricAgg attribute) DistanceFromUniform (class in fair_forge.data_metrics) E estimator (fair_forge.preprocessing.GroupPipeline attribute) evaluate() (in module fair_forge.eval) F fair_forge.data_metrics module 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 feature_grouping (fair_forge.datasets.GroupDataset attribute) feature_names (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) Float (in module fair_forge.metrics) 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) H hgr_corr() (in module fair_forge.data_metrics) I INDIVIDUAL (fair_forge.metrics.MetricAgg attribute) iterate_forever() (in module fair_forge.nn.utils) L label (fair_forge.data_metrics.DistanceFromUniform attribute) LabelAndCombinationType (in module fair_forge.data_metrics) LabelProportions (class in fair_forge.data_metrics) LabelType (in module fair_forge.metrics) 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.MetricAgg attribute) Method (class in fair_forge.methods) Metric (class in fair_forge.metrics) MetricAgg (class in fair_forge.metrics) MIN (fair_forge.metrics.MetricAgg attribute) MIN_MAX (fair_forge.metrics.MetricAgg attribute) MissingDataProportions (class in fair_forge.data_metrics) module fair_forge.data_metrics 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 N name (fair_forge.datasets.GroupDataset attribute) P 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_split() (in module fair_forge.split) R random_state (fair_forge.methods.Blind attribute) (fair_forge.preprocessing.GroupPipeline attribute) (fair_forge.preprocessing.Upsampler attribute) RATIO (fair_forge.metrics.MetricAgg attribute) RenyiCorrelation (class in fair_forge.metrics) reproducible_random_state() (in module fair_forge.utils) Reweighting (class in fair_forge.methods) S 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) SplitMethod (class in fair_forge.split) strategy (fair_forge.preprocessing.Upsampler attribute) T target (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 Upsampler (class in fair_forge.preprocessing)