Index

_

__call__() (automl.fairness.metrics.dataset.ConsistencyScorer method) (automl.fairness.metrics.dataset.DatasetStatisticalParityScorer method) (automl.fairness.metrics.dataset.SmoothedEDFScorer method) (automl.fairness.metrics.model.EqualizedOddsScorer method) (automl.fairness.metrics.model.ErrorRateScorer method) (automl.fairness.metrics.model.FalseDiscoveryRateScorer method) (automl.fairness.metrics.model.FalseNegativeRateScorer method) (automl.fairness.metrics.model.FalseOmissionRateScorer method) (automl.fairness.metrics.model.FalsePositiveRateScorer method) (automl.fairness.metrics.model.ModelStatisticalParityScorer method) (automl.fairness.metrics.model.TheilIndexScorer method) (automl.fairness.metrics.model.TruePositiveRateScorer method)

A

adaptive_sampling_trials_ (automl.Pipeline attribute) aggregate() (automl.mlx.interface.TabularExplainer method) ALFIExplanation (class in automl.mlx.explanation) all_trials_ (automl.Pipeline attribute) all_trials_extra_scores_ (automl.Pipeline attribute) at_summary (automl.ModelTune attribute)

automl module automl.fairness module automl.fairness.metrics module

B

BaseALFIExplanation (class in automl.mlx.explanation)

BaseLFIExplanation (class in automl.mlx.explanation)

C

CFExplanation (class in automl.mlx.explanation) classes_ (automl.Pipeline attribute) configure_explain_counterfactual() (automl.mlx.interface.TabularExplainer method) configure_explain_feature_dependence() (automl.mlx.interface.TabularExplainer method) configure_explain_model() (automl.mlx.interface.TabularExplainer method) (automl.mlx.interface.TextExplainer method)

configure_explain_prediction() (automl.mlx.interface.TabularExplainer method) (automl.mlx.interface.TextExplainer method) consistency() (in module automl.fairness.metrics.dataset) ConsistencyScorer (class in automl.fairness.metrics.dataset)

D

dataset_statistical_parity() (in module automl.fairness.metrics.dataset)

DatasetStatisticalParityScorer (class in automl.fairness.metrics.dataset)

E

equalized_odds() (in module automl.fairness.metrics.model) EqualizedOddsScorer (class in automl.fairness.metrics.model) error_rate() (in module automl.fairness.metrics.model) ErrorRateScorer (class in automl.fairness.metrics.model) explain_counterfactual() (automl.mlx.interface.TabularExplainer method)

explain_feature_dependence() (automl.mlx.interface.TabularExplainer method) explain_model() (automl.mlx.interface.TabularExplainer method) (automl.mlx.interface.TextExplainer method) explain_prediction() (automl.mlx.interface.TabularExplainer method) (automl.mlx.interface.TextExplainer method) explore_whatif() (automl.mlx.interface.TabularExplainer method)

F

false_discovery_rate() (in module automl.fairness.metrics.model) false_negative_rate() (in module automl.fairness.metrics.model) false_omission_rate() (in module automl.fairness.metrics.model) false_positive_rate() (in module automl.fairness.metrics.model) FalseDiscoveryRateScorer (class in automl.fairness.metrics.model) FalseNegativeRateScorer (class in automl.fairness.metrics.model) FalseOmissionRateScorer (class in automl.fairness.metrics.model)

FalsePositiveRateScorer (class in automl.fairness.metrics.model) FDExplanation (class in automl.mlx.explanation) feature_importances_ (automl.Pipeline attribute) feature_selection_trials_ (automl.Pipeline attribute) fit() (automl.ModelTune method) (automl.Pipeline method) forecast() (automl.Pipeline method)

G

GFIExplanation (class in automl.mlx.explanation)

GTIExplanation (class in automl.mlx.explanation)

I

init() (in module automl.interface)

M

MLExplainer() (in module automl.interface.mlx) model_selection_trials_ (automl.Pipeline attribute) model_statistical_parity() (in module automl.fairness.metrics.model) ModelStatisticalParityScorer (class in automl.fairness.metrics.model)

ModelTune (class in automl) module automl automl.fairness automl.fairness.metrics

N

n_jobs_ (automl.Pipeline attribute)

P

Pipeline (class in automl) pipelines_ (automl.Pipeline attribute) predict() (automl.ModelTune method) (automl.Pipeline method) predict_proba() (automl.ModelTune method) (automl.Pipeline method)

print_memory_usage() (automl.Pipeline method) print_profile_summary() (automl.Pipeline method) print_summary() (automl.Pipeline method) print_times() (automl.Pipeline method) print_trials() (automl.Pipeline method)

R

ranked_models_ (automl.Pipeline attribute)

refit() (automl.Pipeline method)

S

score() (automl.ModelTune method) (automl.Pipeline method) selected_features_ (automl.Pipeline attribute) selected_features_names_ (automl.Pipeline attribute) selected_model_ (automl.Pipeline attribute) selected_model_params_ (automl.ModelTune attribute) (automl.Pipeline attribute) selected_rows_ (automl.Pipeline attribute) selected_valid_rows_ (automl.Pipeline attribute)

show_in_notebook() (automl.mlx.explanation.ALFIExplanation method) (automl.mlx.explanation.BaseALFIExplanation method) (automl.mlx.explanation.BaseLFIExplanation method) (automl.mlx.explanation.CFExplanation method) (automl.mlx.explanation.FDExplanation method) (automl.mlx.explanation.GFIExplanation method) (automl.mlx.explanation.GTIExplanation method) (automl.mlx.explanation.TextALFIExplanation method) smoothed_edf() (in module automl.fairness.metrics.dataset) SmoothedEDFScorer (class in automl.fairness.metrics.dataset)

T

TabularExplainer (class in automl.mlx.interface) TextALFIExplanation (class in automl.mlx.explanation) TextExplainer (class in automl.mlx.interface) theil_index() (in module automl.fairness.metrics.model) TheilIndexScorer (class in automl.fairness.metrics.model) to_dataframe() (automl.mlx.explanation.ALFIExplanation method) (automl.mlx.explanation.BaseLFIExplanation method) (automl.mlx.explanation.CFExplanation method) (automl.mlx.explanation.FDExplanation method) (automl.mlx.explanation.GFIExplanation method) (automl.mlx.explanation.GTIExplanation method) (automl.mlx.explanation.TextALFIExplanation method)

to_onnx() (automl.Pipeline method) train() (automl.Pipeline method) transform() (automl.ModelTune method) (automl.Pipeline method) true_positive_rate() (in module automl.fairness.metrics.model) TruePositiveRateScorer (class in automl.fairness.metrics.model) tuning_trials_ (automl.ModelTune attribute) (automl.Pipeline attribute)