Index

_

__call__() (Autoencoder method)

__sklearn_is_fitted__() (ThresholdSelector method)

A

actual_false_discovery_rate_ (FDRSelector attribute) AdaptiveThresholdSelector (class in energy_fault_detector.threshold_selectors.adaptive_threshold) analyze_event() (in module energy_fault_detector.quick_fault_detection.quick_fault_detector) angle_columns (Config property), [1] angle_features (Options attribute) 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 (FaultDetectionModel attribute) (FaultDetectionResult attribute) (FaultDetector attribute), [1] (ModelFactory property)

AnomalyScore (class in energy_fault_detector.core.anomaly_score) apply_boolean_mapping() (in module energy_fault_detector.quick_fault_detection.data_loading) Arcana (class in energy_fault_detector.root_cause_analysis.arcana) arcana_losses (FaultDetectionResult attribute) arcana_params (Config property), [1] Autoencoder (class in energy_fault_detector.core.autoencoder) autoencoder (FaultDetectionModel attribute) (FaultDetector attribute), [1] (ModelFactory property) automatic_hyper_opt() (in module energy_fault_detector.quick_fault_detection.optimization) automatic_optimization (Options attribute)

B

BaseConfig (class in energy_fault_detector.config.base_config)

bias_data (FaultDetectionResult attribute) BlockDataSplitter (class in energy_fault_detector.data_splitting.data_splitter)

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) columns_dropped_ (ColumnSelector attribute) (LowUniqueValueFilter attribute)

ColumnSelector (class in energy_fault_detector.data_preprocessing.column_selector) compile_model() (Autoencoder method) ConditionalAE (class in energy_fault_detector.autoencoders.conditional_autoencoder) Config (class in energy_fault_detector) (class in energy_fault_detector.config.config) create_events() (in module energy_fault_detector.utils.analysis) create_ground_truth() (CAREScore static method) create_model() (Autoencoder method) (ConditionalAE method) (MultilayerAutoencoder method) (RegressionNN method) csv_test_data_path (Options attribute)

D

data_clipping (Config property), [1] data_clipping_params (Config property), [1] data_preprocessor (FaultDetectionModel attribute) (FaultDetector attribute), [1] (ModelFactory property) data_split_params (Config property), [1] DataClipper (class in energy_fault_detector.data_preprocessing.data_clipper)

DataPreprocessor (class in energy_fault_detector.data_preprocessing.data_preprocessor) DataTransformer (class in energy_fault_detector.core.data_transformer) detect_encoding() (in module energy_fault_detector.quick_fault_detection.data_loading) detect_separator() (in module energy_fault_detector.quick_fault_detection.data_loading) download_file() (in module energy_fault_detector.utils.data_downloads) download_zenodo_data() (in module energy_fault_detector.utils.data_downloads) draw_samples() (Arcana method) DuplicateValuesToNan (class in energy_fault_detector.data_preprocessing.duplicate_value_to_nan)

E

enable_debug_plots (Options attribute) encode() (Autoencoder method) encoder (Autoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute) energy_fault_detector module energy_fault_detector.anomaly_scores module energy_fault_detector.anomaly_scores.mahalanobis_score module energy_fault_detector.anomaly_scores.rmse_score module energy_fault_detector.autoencoders module energy_fault_detector.autoencoders.conditional_autoencoder module energy_fault_detector.autoencoders.multilayer_autoencoder module energy_fault_detector.config module energy_fault_detector.config.base_config module energy_fault_detector.config.config module energy_fault_detector.core module energy_fault_detector.core.anomaly_score module energy_fault_detector.core.autoencoder module energy_fault_detector.core.data_transformer module energy_fault_detector.core.fault_detection_model module energy_fault_detector.core.fault_detection_result module energy_fault_detector.core.model_factory module energy_fault_detector.core.save_load_mixin module energy_fault_detector.core.threshold_selector module energy_fault_detector.data_preprocessing module energy_fault_detector.data_preprocessing.angle_transformer module energy_fault_detector.data_preprocessing.column_selector 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.low_unique_value_filter module energy_fault_detector.data_splitting module energy_fault_detector.data_splitting.data_splitter module energy_fault_detector.evaluation module energy_fault_detector.evaluation.care2compare module energy_fault_detector.evaluation.care_score module energy_fault_detector.fault_detector module energy_fault_detector.main module energy_fault_detector.quick_fault_detection module energy_fault_detector.quick_fault_detection.configuration module energy_fault_detector.quick_fault_detection.data_loading module energy_fault_detector.quick_fault_detection.optimization module energy_fault_detector.quick_fault_detection.output module energy_fault_detector.quick_fault_detection.quick_fault_detector 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.threshold_selectors.adaptive_threshold module energy_fault_detector.threshold_selectors.fbeta_threshold module energy_fault_detector.threshold_selectors.fdr_threshold module energy_fault_detector.threshold_selectors.quantile_threshold 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 evaluate_event() (CAREScore method) evaluated_events (CAREScore property)

F

FaultDetectionModel (class in energy_fault_detector.core.fault_detection_model) FaultDetectionResult (class in energy_fault_detector.core.fault_detection_result) FaultDetector (class in energy_fault_detector) (class in energy_fault_detector.fault_detector) FbetaSelector (class in energy_fault_detector.threshold_selectors.fbeta_threshold) FDRSelector (class in energy_fault_detector.threshold_selectors.fdr_threshold) feature_names_in_ (ColumnSelector attribute) (DuplicateValuesToNan attribute) (LowUniqueValueFilter attribute) feature_names_out_ (ColumnSelector attribute) (DuplicateValuesToNan attribute) (LowUniqueValueFilter attribute) features_to_exclude (Options attribute) fetch_record() (in module energy_fault_detector.utils.data_downloads) find_arcana_bias() (Arcana method) fit() (AdaptiveThresholdSelector method) (AngleTransformer method) (AnomalyScore method) (Autoencoder method) (ColumnSelector method) (DataClipper method) (DataTransformer method) (DuplicateValuesToNan method) (FaultDetectionModel method) (FaultDetector method), [1] (FbetaSelector method) (FDRSelector method) (LowUniqueValueFilter method) (MahalanobisScore method) (QuantileThresholdSelector method) (RegressionNN method) (RMSEScore method) (ThresholdSelector method)

fit_threshold_on_val (Config property), [1] fit_transform() (DataPreprocessor method) format_event_dataset() (Care2CompareDataset method) (Care2CompareDataset static method)

G

generate_output_plots() (in module energy_fault_detector.quick_fault_detection.output) get() (Registry method) get_alternative_class_names() (Registry method) get_boolean_feature() (in module energy_fault_detector.quick_fault_detection.data_loading) get_event_info() (Care2CompareDataset method), [1] get_feature_names_out() (AngleTransformer method) (ColumnSelector method) (DataClipper method) (DataTransformer method) (DuplicateValuesToNan method) (LowUniqueValueFilter method)

get_final_score() (CAREScore method) get_reconstruction_error() (Autoencoder method) get_sensor_data() (in module energy_fault_detector.quick_fault_detection.data_loading)

H

history (Autoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute)

I

initialize_x_bias() (Arcana method) InvalidConfigFile inverse_transform() (AngleTransformer method) (ColumnSelector method) (DataClipper method) (DataPreprocessor method) (DataTransformer method) (DuplicateValuesToNan method) (LowUniqueValueFilter method)

is_conditional (Autoencoder attribute) iter_datasets() (Care2CompareDataset method), [1] iter_formatted_datasets() (Care2CompareDataset method), [1] iter_train_datasets_per_asset() (Care2CompareDataset method), [1]

L

list_files() (in module energy_fault_detector.utils.data_downloads) load() (Autoencoder method) (SaveLoadMixin method) load_and_format_event_dataset() (Care2CompareDataset method), [1] load_data() (in module energy_fault_detector.quick_fault_detection.data_loading)

load_evaluated_events() (CAREScore method) load_event_dataset() (Care2CompareDataset method), [1] load_models() (FaultDetectionModel method) load_options_from_yaml() (in module energy_fault_detector.main) load_train_test_data() (in module energy_fault_detector.quick_fault_detection.data_loading) LowUniqueValueFilter (class in energy_fault_detector.data_preprocessing.low_unique_value_filter)

M

MahalanobisScore (class in energy_fault_detector.anomaly_scores.mahalanobis_score) main() (in module energy_fault_detector.main) mark_normal_outliers() (FbetaSelector method) max_criticality (Config property), [1] min_anomaly_length (Options attribute) model (Autoencoder attribute) (ConditionalAE attribute) (MultilayerAutoencoder attribute) model_date (ModelMetadata attribute) model_path (ModelMetadata attribute) ModelFactory (class in energy_fault_detector.core.model_factory) ModelMetadata (class in energy_fault_detector.core.fault_detection_result) module energy_fault_detector energy_fault_detector.anomaly_scores energy_fault_detector.anomaly_scores.mahalanobis_score energy_fault_detector.anomaly_scores.rmse_score energy_fault_detector.autoencoders energy_fault_detector.autoencoders.conditional_autoencoder energy_fault_detector.autoencoders.multilayer_autoencoder energy_fault_detector.config energy_fault_detector.config.base_config energy_fault_detector.config.config energy_fault_detector.core energy_fault_detector.core.anomaly_score energy_fault_detector.core.autoencoder energy_fault_detector.core.data_transformer energy_fault_detector.core.fault_detection_model energy_fault_detector.core.fault_detection_result energy_fault_detector.core.model_factory energy_fault_detector.core.save_load_mixin energy_fault_detector.core.threshold_selector energy_fault_detector.data_preprocessing energy_fault_detector.data_preprocessing.angle_transformer energy_fault_detector.data_preprocessing.column_selector 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.low_unique_value_filter energy_fault_detector.data_splitting energy_fault_detector.data_splitting.data_splitter energy_fault_detector.evaluation energy_fault_detector.evaluation.care2compare energy_fault_detector.evaluation.care_score energy_fault_detector.fault_detector energy_fault_detector.main energy_fault_detector.quick_fault_detection energy_fault_detector.quick_fault_detection.configuration energy_fault_detector.quick_fault_detection.data_loading energy_fault_detector.quick_fault_detection.optimization energy_fault_detector.quick_fault_detection.output energy_fault_detector.quick_fault_detection.quick_fault_detector 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.threshold_selectors.adaptive_threshold energy_fault_detector.threshold_selectors.fbeta_threshold energy_fault_detector.threshold_selectors.fdr_threshold energy_fault_detector.threshold_selectors.quantile_threshold 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.multilayer_autoencoder)

N

n_features_in_ (ColumnSelector attribute) (LowUniqueValueFilter attribute)

NoTrainingData

O

opt (Arcana attribute)

Options (class in energy_fault_detector.main)

P

parse_record_id() (in module energy_fault_detector.utils.data_downloads) 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_score_with_threshold() (in module energy_fault_detector.utils.visualisation) predict() (AdaptiveThresholdSelector method) (Autoencoder method) (FaultDetectionModel method) (FaultDetector method), [1] (RegressionNN method) (ThresholdSelector method)

predict_anomalies() (FaultDetector method), [1] predict_anomaly_score() (FaultDetector method), [1] predicted_anomalies (FaultDetectionResult attribute) prepare_output_dir() (in module energy_fault_detector.utils.data_downloads) preprocess_train_data() (FaultDetector method), [1] print_available_classes() (Registry method)

Q

QuantileThresholdSelector (class in energy_fault_detector.threshold_selectors.quantile_threshold)

quick_fault_detector() (in module energy_fault_detector) (in module energy_fault_detector.quick_fault_detection.quick_fault_detector)

R

read_config() (BaseConfig method) read_csv_file() (in module energy_fault_detector.quick_fault_detection.data_loading) recon_error (FaultDetectionResult attribute) reconstruction (FaultDetectionResult attribute) register() (in module energy_fault_detector.registration) (Registry method)

Registry (class in energy_fault_detector.registration) RegressionNN (class in energy_fault_detector.threshold_selectors.adaptive_threshold) RMSEScore (class in energy_fault_detector.anomaly_scores.rmse_score) root_cause_analysis (Config property), [1] run_root_cause_analysis() (FaultDetector method), [1]

S

safe_extract_zip() (in module energy_fault_detector.utils.data_downloads) save() (Autoencoder method) (FaultDetectionResult method) (SaveLoadMixin method) save_evaluated_events() (CAREScore method) save_models() (FaultDetectionModel method) save_timestamps (FaultDetectionModel attribute) (FaultDetector attribute), [1]

SaveLoadMixin (class in energy_fault_detector.core.save_load_mixin) scale (RMSEScore attribute) select_config() (in module energy_fault_detector.quick_fault_detection.configuration) split() (BlockDataSplitter method) split_inputs() (in module energy_fault_detector.core.autoencoder) status_data_column_name (Options attribute) status_label_confidence_percentage (Options attribute) status_mapping (Options attribute)

T

threshold (FbetaSelector attribute) (FDRSelector attribute) (QuantileThresholdSelector attribute) (ThresholdSelector attribute) threshold_selector (FaultDetectionModel attribute) (FaultDetector attribute), [1] (ModelFactory property) ThresholdSelector (class in energy_fault_detector.core.threshold_selector) time_column_name (Options attribute) tracked_bias (FaultDetectionResult attribute) train() (FaultDetectionModel method) train_recon_error (ModelMetadata attribute) train_selection (BlockDataSplitter attribute) train_test_column_name (Options attribute) train_test_mapping (Options attribute)

train_val_split() (FaultDetectionModel method) transform() (AngleTransformer method) (AnomalyScore method) (ColumnSelector method) (DataClipper method) (DataPreprocessor method) (DataTransformer method) (DuplicateValuesToNan method) (LowUniqueValueFilter method) (MahalanobisScore method) (RMSEScore method) trust_bad_angles (AngleTransformer attribute) tune() (Autoencoder method) (FaultDetector method), [1] tune_decoder() (Autoencoder method)

U

update_autoencoder_config() (in module energy_fault_detector.quick_fault_detection.configuration) update_c2c_config() (Care2CompareDataset method), [1] update_config() (BaseConfig method)

update_preprocessor_config() (in module energy_fault_detector.quick_fault_detection.configuration) update_threshold_config() (in module energy_fault_detector.quick_fault_detection.configuration) update_x_bias() (Arcana method)

V

val_recon_error (ModelMetadata attribute) val_selection (BlockDataSplitter attribute)

validate_mapping() (in module energy_fault_detector.quick_fault_detection.data_loading) verbose (Config property), [1]

W

write_config() (BaseConfig method)