AutoMLx
24.1.0
Getting Started:
Installation
Quick Start
Release Notes
Considerations for Secure Use
Class Documentation:
Initialization
AutoML
Explainability
Fairness
Publications
AutoML Paper (VLDB 2020)
Anomaly Detection (AutoML 2022)
Versions
oracle-automlx
23.4.0
23.4.1
24.1.0
24.2.0
24.3.0
legacy automlx
23.2.3
23.2.2
23.2.1
23.2.0
23.1.1
23.1.0rc4
23.1.0
AutoMLx
»
Index
Index
_
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A
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B
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C
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D
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E
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F
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G
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I
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M
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N
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P
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R
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S
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T
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U
_
__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
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)
(AutoRegressor attribute)
completed_trials_summary_ (AutoAnomalyDetector attribute)
(AutoClassifier attribute)
(AutoForecaster attribute)
(AutoRegressor attribute)
configure() (in module automlx._interface.AutoAnomalyDetector)
(in module automlx._interface.AutoClassifier)
(in module automlx._interface.AutoForecaster)
(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() (in module automlx._interface.AutoAnomalyDetector)
(in module automlx._interface.AutoClassifier)
(in module automlx._interface.AutoForecaster)
(in module automlx._interface.AutoRegressor)
(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)
(AutoRegressor attribute)
P
Pipeline() (in module automlx)
pipelines_ (AutoAnomalyDetector attribute)
(AutoClassifier attribute)
(AutoForecaster attribute)
(AutoRegressor attribute)
plot_forecast() (in module automlx._interface.AutoForecaster)
predict() (in module automlx._interface.AutoForecaster)
(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)
(AutoRegressor attribute)
refit() (in module automlx._interface.AutoAnomalyDetector)
(in module automlx._interface.AutoClassifier)
(in module automlx._interface.AutoRegressor)
S
score() (in module automlx._interface.AutoForecaster)
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)
(AutoRegressor attribute)
selected_model_params_ (AutoAnomalyDetector attribute)
(AutoClassifier attribute)
(AutoForecaster 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() (in module automlx._interface.AutoAnomalyDetector)
(in module automlx._interface.AutoClassifier)
(in module automlx._interface.AutoRegressor)
transform() (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)