Index

_

__call__() (Autoencoder method)

A

actual_false_discovery_rate_ (FDRSelector attribute) AdaptiveThresholdSelector (class in energy_fault_detector.threshold_selectors) angles (AngleTransformer attribute) AngleTransformer (class in energy_fault_detector.data_preprocessing.angle_transformer) animate_bias() (in module energy_fault_detector.utils.visualisation) animate_corrected_input() (in module energy_fault_detector.utils.visualisation) anomaly_score (FaultDetectionResult attribute) (FaultDetector attribute)

AnomalyScore (class in energy_fault_detector.core) apply_weights_to_squared_residuals() (WeightedRMSEScore method) Arcana (class in energy_fault_detector.root_cause_analysis.arcana) arcana_losses (FaultDetectionResult attribute) arcana_params (Config property) Autoencoder (class in energy_fault_detector.core.autoencoder) autoencoder (FaultDetector attribute)

B

bias_data (FaultDetectionResult attribute) BidirectionalLSTMSeq2OneAutoencoder (class in energy_fault_detector.autoencoders)

BlockDataSplitter (class in energy_fault_detector.data_splitting.data_splitter) build_seq2one_dataset() (SequenceDatasetBuilder method) build_sliding_dataset() (SequenceDatasetBuilder method)

C

calculate_arcana_importance_time_series() (in module energy_fault_detector.root_cause_analysis.arcana_utils) calculate_avg_accuracy() (CAREScore method) calculate_avg_coverage() (CAREScore method) calculate_avg_earliness() (CAREScore method) calculate_criticality() (in module energy_fault_detector.utils.analysis) calculate_mean_arcana_importances() (in module energy_fault_detector.root_cause_analysis.arcana_utils) calculate_reliability() (CAREScore method) callbacks (Autoencoder attribute) Care2CompareDataset (class in energy_fault_detector.evaluation.care2compare) CAREScore (class in energy_fault_detector.evaluation.care_score) categorical_columns (CategoricalEncoder attribute) (ForwardFillImputer attribute) (Imputer attribute) categorical_features (CategoricalEncoder attribute) (ForwardFillImputer attribute) (Imputer attribute) (Scaler attribute) categorical_imputer (Imputer attribute) CategoricalEncoder (class in energy_fault_detector.data_preprocessing.categorical_encoder) CNNAutoencoder (class in energy_fault_detector.autoencoders)

CNNSeq2OneAutoencoder (class in energy_fault_detector.autoencoders) columns_dropped_ (ColumnSelector attribute) (LowUniqueValueFilter attribute) (Scaler attribute) ColumnSelector (class in energy_fault_detector.data_preprocessing.column_selector) compile_model() (Autoencoder method) ConditionalAE (class in energy_fault_detector.autoencoders) Config (class in energy_fault_detector) CounterDiffTransformer (class in energy_fault_detector.data_preprocessing.counter_diff_transformer) create_events() (in module energy_fault_detector.utils.analysis) create_ground_truth() (CAREScore static method) create_model() (Autoencoder method) (BidirectionalLSTMSeq2OneAutoencoder method) (CNNAutoencoder method) (CNNSeq2OneAutoencoder method) (ConditionalAE method) (LSTMSeq2OneAutoencoder method) (LSTMSeqAutoencoder method) (MultilayerAutoencoder method) create_normal_flag() (PreDistDataset method) criticality() (FaultDetectionResult method)

D

data_clipping (Config property) data_clipping_params (Config property) data_gaps (DataGapHandler attribute) data_preprocessor (FaultDetector attribute) data_preprocessor_steps (Config property) data_split_params (Config property) DataClipper (class in energy_fault_detector.data_preprocessing.data_clipper)

DataGapHandler (class in energy_fault_detector.data_splitting.data_gap_handler) DataPreprocessor (class in energy_fault_detector.data_preprocessing.data_preprocessor) DataTransformer (class in energy_fault_detector.core) download_backblaze_data() (in module energy_fault_detector.utils.data_downloads) download_zenodo_data() (in module energy_fault_detector.utils.data_downloads) draw_samples() (Arcana method) dtype (Config property) DuplicateValuesToNan (class in energy_fault_detector.data_preprocessing.duplicate_value_to_nan)

E

encode() (Autoencoder method) (SequenceAutoencoder method) encoder (Autoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute) energy_fault_detector module energy_fault_detector.anomaly_scores module energy_fault_detector.anomaly_scores.weighted_rmse_score module energy_fault_detector.autoencoders module energy_fault_detector.autoencoders.seq2one_autoencoder module energy_fault_detector.autoencoders.seq2seq_autoencoder module energy_fault_detector.autoencoders.sequence_autoencoder module energy_fault_detector.core module energy_fault_detector.core.autoencoder module energy_fault_detector.data_preprocessing module energy_fault_detector.data_preprocessing.angle_transformer module energy_fault_detector.data_preprocessing.categorical_encoder module energy_fault_detector.data_preprocessing.column_selector module energy_fault_detector.data_preprocessing.counter_diff_transformer module energy_fault_detector.data_preprocessing.data_clipper module energy_fault_detector.data_preprocessing.data_preprocessor module energy_fault_detector.data_preprocessing.duplicate_value_to_nan module energy_fault_detector.data_preprocessing.ffill_imputer module energy_fault_detector.data_preprocessing.imputer module energy_fault_detector.data_preprocessing.low_unique_value_filter module

energy_fault_detector.data_preprocessing.scaler module energy_fault_detector.data_preprocessing.timestamp_transformer module energy_fault_detector.data_splitting module energy_fault_detector.data_splitting.data_gap_handler module energy_fault_detector.data_splitting.data_splitter module energy_fault_detector.data_splitting.sequence_dataset module energy_fault_detector.evaluation module energy_fault_detector.evaluation.care2compare module energy_fault_detector.evaluation.care_score module energy_fault_detector.evaluation.predist_dataset module energy_fault_detector.quick_fault_detection module energy_fault_detector.registration module energy_fault_detector.root_cause_analysis module energy_fault_detector.root_cause_analysis.arcana module energy_fault_detector.root_cause_analysis.arcana_utils module energy_fault_detector.threshold_selectors module energy_fault_detector.utils module energy_fault_detector.utils.analysis module energy_fault_detector.utils.data_downloads module energy_fault_detector.utils.visualisation module epochs_completed (Autoencoder property) evaluate_event() (CAREScore method) evaluated_events (CAREScore property) events (PreDistDataset attribute)

F

FAULT_HOURS_AFTER (PreDistDataset attribute) FAULT_HOURS_BEFORE (PreDistDataset attribute) FaultDetectionResult (class in energy_fault_detector.core) FaultDetector (class in energy_fault_detector) FbetaSelector (class in energy_fault_detector.threshold_selectors) FDRSelector (class in energy_fault_detector.threshold_selectors) feature_names_in_ (CategoricalEncoder attribute) (ColumnSelector attribute) (DuplicateValuesToNan attribute) (ForwardFillImputer attribute) (Imputer attribute) (LowUniqueValueFilter attribute) (Scaler attribute) feature_names_out_ (CategoricalEncoder attribute) (ColumnSelector attribute) (DuplicateValuesToNan attribute) (ForwardFillImputer attribute) (Imputer attribute) (LowUniqueValueFilter attribute) (Scaler attribute) feature_weights (WeightedRMSEScore attribute) ffill_limit_ (ForwardFillImputer attribute) find_arcana_bias() (Arcana method) fit() (AdaptiveThresholdSelector method) (AngleTransformer method) (AnomalyScore method) (Autoencoder method) (CategoricalEncoder method) (ColumnSelector method) (CounterDiffTransformer method) (DataClipper method) (DataPreprocessor method) (DataTransformer method) (DuplicateValuesToNan method) (FaultDetector method) (FbetaSelector method) (FDRSelector method) (ForwardFillImputer method) (Imputer method) (LowUniqueValueFilter method) (MahalanobisScore method) (QuantileThresholdSelector method) (RMSEScore method) (Scaler method) (SequenceAutoencoder method) (ThresholdSelector method) (TimestampTransformer method) (WeightedRMSEScore method)

fit_threshold_on_val (Config property) fit_transform() (DataPreprocessor method) format_event_dataset() (Care2CompareDataset static method) ForwardFillImputer (class in energy_fault_detector.data_preprocessing.ffill_imputer) freq (DataGapHandler attribute)

G

get() (Registry method) get_alternative_class_names() (Registry method) get_event_data() (PreDistDataset method) get_event_info() (Care2CompareDataset method) get_feature_names_out() (AngleTransformer method) (CategoricalEncoder method) (ColumnSelector method) (CounterDiffTransformer method) (DataClipper method) (DataTransformer method) (DuplicateValuesToNan method) (ForwardFillImputer method) (Imputer method) (LowUniqueValueFilter method) (Scaler method) (TimestampTransformer method)

get_final_score() (CAREScore method) get_next_gap_after() (DataGapHandler method) get_reconstruction_error() (Autoencoder method) (SequenceAutoencoder method)

H

has_data_gaps() (DataGapHandler method) history (Autoencoder attribute) (CNNAutoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute)

I

Imputer (class in energy_fault_detector.data_preprocessing.imputer) initialize_x_bias() (Arcana method) input_index_ (Imputer attribute) inverse_transform() (AngleTransformer method) (CategoricalEncoder method) (ColumnSelector method) (CounterDiffTransformer method) (DataClipper method) (DataPreprocessor method) (DataTransformer method) (DuplicateValuesToNan method) (ForwardFillImputer method) (Imputer method) (LowUniqueValueFilter method) (Scaler method) (TimestampTransformer method)

is_conditional (Autoencoder attribute) is_in_gap() (DataGapHandler method) iter_datasets() (Care2CompareDataset method) iter_formatted_datasets() (Care2CompareDataset method) iter_train_datasets_per_asset() (Care2CompareDataset method)

L

load() (Autoencoder method) (FaultDetectionResult class method) load_and_format_event_dataset() (Care2CompareDataset method) load_evaluated_events() (CAREScore method)

load_event_dataset() (Care2CompareDataset method) load_substation_data() (PreDistDataset method) LowUniqueValueFilter (class in energy_fault_detector.data_preprocessing.low_unique_value_filter) LSTMSeq2OneAutoencoder (class in energy_fault_detector.autoencoders) LSTMSeqAutoencoder (class in energy_fault_detector.autoencoders)

M

MahalanobisScore (class in energy_fault_detector.anomaly_scores) mark_normal_outliers() (FbetaSelector method) max_criticality (Config property) model (Autoencoder attribute) (CNNAutoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute) model_date (ModelMetadata attribute) model_path (ModelMetadata attribute) ModelMetadata (class in energy_fault_detector.core) module energy_fault_detector energy_fault_detector.anomaly_scores energy_fault_detector.anomaly_scores.weighted_rmse_score energy_fault_detector.autoencoders energy_fault_detector.autoencoders.seq2one_autoencoder energy_fault_detector.autoencoders.seq2seq_autoencoder energy_fault_detector.autoencoders.sequence_autoencoder energy_fault_detector.core energy_fault_detector.core.autoencoder energy_fault_detector.data_preprocessing energy_fault_detector.data_preprocessing.angle_transformer energy_fault_detector.data_preprocessing.categorical_encoder energy_fault_detector.data_preprocessing.column_selector energy_fault_detector.data_preprocessing.counter_diff_transformer energy_fault_detector.data_preprocessing.data_clipper energy_fault_detector.data_preprocessing.data_preprocessor energy_fault_detector.data_preprocessing.duplicate_value_to_nan energy_fault_detector.data_preprocessing.ffill_imputer energy_fault_detector.data_preprocessing.imputer energy_fault_detector.data_preprocessing.low_unique_value_filter energy_fault_detector.data_preprocessing.scaler energy_fault_detector.data_preprocessing.timestamp_transformer energy_fault_detector.data_splitting energy_fault_detector.data_splitting.data_gap_handler energy_fault_detector.data_splitting.data_splitter energy_fault_detector.data_splitting.sequence_dataset energy_fault_detector.evaluation energy_fault_detector.evaluation.care2compare energy_fault_detector.evaluation.care_score energy_fault_detector.evaluation.predist_dataset energy_fault_detector.quick_fault_detection energy_fault_detector.registration energy_fault_detector.root_cause_analysis energy_fault_detector.root_cause_analysis.arcana energy_fault_detector.root_cause_analysis.arcana_utils energy_fault_detector.threshold_selectors energy_fault_detector.utils energy_fault_detector.utils.analysis energy_fault_detector.utils.data_downloads energy_fault_detector.utils.visualisation

MultilayerAutoencoder (class in energy_fault_detector.autoencoders)

N

n_features_in_ (CategoricalEncoder attribute) (ColumnSelector attribute) (Imputer attribute) (LowUniqueValueFilter attribute) NAME_ALIASES (DataPreprocessor attribute) non_declared_categorical_features (CategoricalEncoder attribute) (ForwardFillImputer attribute) (Imputer attribute)

numerical_columns (CategoricalEncoder attribute) (ForwardFillImputer attribute) (Imputer attribute) numerical_imputer (Imputer attribute)

O

one_hot_encoder (CategoricalEncoder attribute)

opt (Arcana attribute)

P

params (Imputer attribute) (Scaler attribute) plot_arcana_importance_series() (in module energy_fault_detector.utils.visualisation) plot_arcana_losses() (in module energy_fault_detector.utils.visualisation) plot_arcana_mean_importances() (in module energy_fault_detector.utils.visualisation) plot_learning_curve() (in module energy_fault_detector.utils.visualisation) plot_reconstruction() (in module energy_fault_detector.utils.visualisation) plot_reconstruction_with_model() (in module energy_fault_detector.utils.visualisation) plot_score_with_threshold() (in module energy_fault_detector.utils.visualisation) predict() (AdaptiveThresholdSelector method) (Autoencoder method) (FaultDetector method) (SequenceAutoencoder method) (ThresholdSelector method)

predict_anomalies() (FaultDetector method) predict_anomaly_score() (FaultDetector method) predicted_anomalies (FaultDetectionResult attribute) PreDistDataset (class in energy_fault_detector.evaluation.predist_dataset) preprocess_train_data() (FaultDetector method) print_available_classes() (Registry method) protect_conditional_features (Config property)

Q

QuantileThresholdSelector (class in energy_fault_detector.threshold_selectors)

quick_fault_detector() (in module energy_fault_detector.quick_fault_detection)

R

recon_error (FaultDetectionResult attribute) reconstruction (FaultDetectionResult attribute) register() (in module energy_fault_detector.registration) (Registry method)

Registry (class in energy_fault_detector.registration) RMSEScore (class in energy_fault_detector.anomaly_scores) root_cause_analysis (Config property) run_root_cause_analysis() (FaultDetector method)

S

save() (Autoencoder method) (FaultDetectionResult method) save_evaluated_events() (CAREScore method) save_timestamps (FaultDetector attribute) scale_categorical_features (Scaler attribute) scale_with_std() (WeightedRMSEScore method) Scaler (class in energy_fault_detector.data_preprocessing.scaler) scaler (Scaler attribute) SCALER_REGISTRY (Scaler attribute) scaler_type (Scaler attribute) Seq2OneAutoencoder (class in energy_fault_detector.autoencoders.seq2one_autoencoder)

Seq2SeqAutoencoder (class in energy_fault_detector.autoencoders.seq2seq_autoencoder) SequenceAutoencoder (class in energy_fault_detector.autoencoders.sequence_autoencoder) SequenceDatasetBuilder (class in energy_fault_detector.data_splitting.sequence_dataset) shift_array() (in module energy_fault_detector.data_splitting.data_gap_handler) split() (BlockDataSplitter method) split_inputs() (in module energy_fault_detector.core.autoencoder) standardize() (MahalanobisScore method) (RMSEScore method) STEP_REGISTRY (DataPreprocessor attribute) strategy (Imputer attribute) summary() (Autoencoder method)

T

threshold (FbetaSelector attribute) (FDRSelector attribute) (QuantileThresholdSelector attribute) (ThresholdSelector attribute) threshold_selector (FaultDetector attribute) ThresholdSelector (class in energy_fault_detector.core) TimestampTransformer (class in energy_fault_detector.data_preprocessing.timestamp_transformer) tracked_bias (FaultDetectionResult attribute) train_recon_error (ModelMetadata attribute) train_selection (BlockDataSplitter attribute) transform() (AngleTransformer method) (AnomalyScore method) (CategoricalEncoder method) (ColumnSelector method) (CounterDiffTransformer method) (DataClipper method) (DataPreprocessor method) (DataTransformer method) (DuplicateValuesToNan method) (ForwardFillImputer method) (Imputer method) (LowUniqueValueFilter method) (MahalanobisScore method) (RMSEScore method) (Scaler method) (TimestampTransformer method) (WeightedRMSEScore method)

trust_bad_angles (AngleTransformer attribute) tune() (Autoencoder method) (FaultDetector method) (SequenceAutoencoder method) tune_decoder() (Autoencoder method) (SequenceAutoencoder method)

U

update_c2c_config() (Care2CompareDataset method)

update_x_bias() (Arcana method)

V

val_recon_error (ModelMetadata attribute)

val_selection (BlockDataSplitter attribute)

W

WeightedRMSEScore (class in energy_fault_detector.anomaly_scores.weighted_rmse_score)