Index

_

__call__() (ConsistencyScorer method) (DatasetStatisticalParityScorer method) (EqualizedOddsScorer method) (ErrorRateScorer method) (FalseDiscoveryRateScorer method) (FalseNegativeRateScorer method) (FalseOmissionRateScorer method) (FalsePositiveRateScorer method) (ModelStatisticalParityScorer method) (SmoothedEDFScorer method) (TheilIndexScorer method) (TruePositiveRateScorer method)

A

aggregate() (TabularExplainer method) (TextExplainer method) AutoAnomalyDetector (class in automlx._interface) AutoClassifier (class in automlx._interface) AutoForecaster (class in automlx._interface) automlx module

automlx.fairness module automlx.fairness.bias_mitigation module automlx.fairness.metrics module AutoRecommender (class in automlx._interface) AutoRegressor (class in automlx._interface)

B

BaseLFIExplanation (class in automlx.mlx.explanation)

C

CFExplanation (class in automlx.mlx.explanation) classes_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) completed_trials_detailed_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute) completed_trials_summary_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute) configure() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender) (in module automlx._interface.AutoRegressor)

configure_explain_counterfactual() (TabularExplainer method) configure_explain_feature_dependence() (TabularExplainer method) configure_explain_model() (TabularExplainer method) (TextExplainer method) configure_explain_model_fairness() (TabularExplainer method) configure_explain_prediction() (TabularExplainer method) (TextExplainer method) consistency() (in module automlx.fairness.metrics._dataset) ConsistencyScorer (class in automlx.fairness.metrics._dataset) constrained_metric_ (ModelBiasMitigator attribute) constraint_criterion_value_ (ModelBiasMitigator attribute)

D

dataset_statistical_parity() (in module automlx.fairness.metrics._dataset)

DatasetStatisticalParityScorer (class in automlx.fairness.metrics._dataset)

E

equalized_odds() (in module automlx.fairness.metrics._model) EqualizedOddsScorer (class in automlx.fairness.metrics._model) error_rate() (in module automlx.fairness.metrics._model) ErrorRateScorer (class in automlx.fairness.metrics._model) explain_counterfactual() (TabularExplainer method) explain_feature_dependence() (TabularExplainer method)

explain_model() (TabularExplainer method) (TextExplainer method) explain_model_fairness() (TabularExplainer method) explain_prediction() (TabularExplainer method) (TextExplainer method) explore_whatif() (TabularExplainer method)

F

false_discovery_rate() (in module automlx.fairness.metrics._model) false_negative_rate() (in module automlx.fairness.metrics._model) false_omission_rate() (in module automlx.fairness.metrics._model) false_positive_rate() (in module automlx.fairness.metrics._model) FalseDiscoveryRateScorer (class in automlx.fairness.metrics._model) FalseNegativeRateScorer (class in automlx.fairness.metrics._model) FalseOmissionRateScorer (class in automlx.fairness.metrics._model) FalsePositiveRateScorer (class in automlx.fairness.metrics._model) FDExplanation (class in automlx.mlx.explanation)

feature_importances_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoRegressor attribute) fit (class in automlx._interface.AutoRegressor) fit() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender) (ModelBiasMitigator method) forecast() (in module automlx._interface.AutoForecaster)

G

GFIExplanation (class in automlx.mlx.explanation)

GTIExplanation (class in automlx.mlx.explanation)

I

init() (in module automlx._interface.default)

M

MLExplainer() (in module automlx.mlx) model_statistical_parity() (in module automlx.fairness.metrics._model) ModelBiasMitigator (class in automlx.fairness.bias_mitigation._sklearn) ModelStatisticalParityScorer (class in automlx.fairness.metrics._model)

module automlx automlx.fairness automlx.fairness.bias_mitigation automlx.fairness.metrics

N

n_jobs_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute)

P

Pipeline() (in module automlx) pipelines_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute) plot_forecast() (in module automlx._interface.AutoForecaster) predict (class in automlx._interface.AutoRegressor)

predict() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender) (ModelBiasMitigator method) predict_proba() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (ModelBiasMitigator method)

R

ranked_models_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute)

recommend() (in module automlx._interface.AutoRecommender) refit (class in automlx._interface.AutoRegressor) refit() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender)

S

score (class in automlx._interface.AutoRegressor) score() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender) select_model() (ModelBiasMitigator method) selected_features_names_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoRegressor attribute) selected_features_names_raw_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoRegressor attribute) selected_model_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute) selected_model_params_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoForecaster attribute) (AutoRecommender attribute) (AutoRegressor attribute)

selected_multipliers_ (ModelBiasMitigator attribute) selected_multipliers_idx_ (ModelBiasMitigator attribute) selected_rows_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoRegressor attribute) selected_valid_rows_ (AutoAnomalyDetector attribute) (AutoClassifier attribute) (AutoRegressor attribute) show_in_notebook() (BaseLFIExplanation method) (CFExplanation method) (FDExplanation method) (GFIExplanation method) (GTIExplanation method) show_tradeoff() (ModelBiasMitigator method) smoothed_edf() (in module automlx.fairness.metrics._dataset) SmoothedEDFScorer (class in automlx.fairness.metrics._dataset)

T

TabularExplainer (class in automlx.mlx.interface) TextExplainer (class in automlx.mlx.interface) theil_index() (in module automlx.fairness.metrics._model) TheilIndexScorer (class in automlx.fairness.metrics._model) threshold_tuning_score_ (AutoClassifier attribute) threshold_tuning_scorer_ (AutoClassifier attribute) time_series_period (AutoForecaster attribute) to_dataframe() (BaseLFIExplanation method) (CFExplanation method) (FDExplanation method) (GFIExplanation method) (GTIExplanation method)

tradeoff_summary_ (ModelBiasMitigator attribute) train (class in automlx._interface.AutoRegressor) train() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) (in module automlx._interface.AutoRecommender) train_test_split() (in module automlx._interface.AutoRecommender) transform (class in automlx._interface.AutoRegressor) transform() (in module automlx._interface.AutoAnomalyDetector) (in module automlx._interface.AutoClassifier) (in module automlx._interface.AutoForecaster) true_positive_rate() (in module automlx.fairness.metrics._model) TruePositiveRateScorer (class in automlx.fairness.metrics._model)

U

unconstrained_metric_ (ModelBiasMitigator attribute)