energy_fault_detector

• energy_fault_detector
  • Config
    • Config.arcana_params
    • Config.data_clipping
    • Config.data_clipping_params
    • Config.data_preprocessor_steps
    • Config.data_split_params
    • Config.dtype
    • Config.fit_threshold_on_val
    • Config.max_criticality
    • Config.protect_conditional_features
    • Config.root_cause_analysis
  • FaultDetector
    • FaultDetector.anomaly_score
    • FaultDetector.autoencoder
    • FaultDetector.threshold_selector
    • FaultDetector.data_preprocessor
    • FaultDetector.save_timestamps
    • FaultDetector.fit()
    • FaultDetector.predict()
    • FaultDetector.predict_anomalies()
    • FaultDetector.predict_anomaly_score()
    • FaultDetector.preprocess_train_data()
    • FaultDetector.run_root_cause_analysis()
    • FaultDetector.tune()
  • energy_fault_detector.anomaly_scores
    • MahalanobisScore
      • MahalanobisScore.fit()
      • MahalanobisScore.set_fit_request()
      • MahalanobisScore.set_transform_request()
      • MahalanobisScore.transform()
    • RMSEScore
      • RMSEScore.scale
      • RMSEScore.fit()
      • RMSEScore.set_fit_request()
      • RMSEScore.set_transform_request()
      • RMSEScore.transform()
  • energy_fault_detector.autoencoders
    • BidirectionalLSTMSeq2OneAutoencoder
      • BidirectionalLSTMSeq2OneAutoencoder.create_model()
    • CNNAutoencoder
      • CNNAutoencoder.model
      • CNNAutoencoder.history
      • CNNAutoencoder.create_model()
    • CNNSeq2OneAutoencoder
      • CNNSeq2OneAutoencoder.create_model()
    • ConditionalAE
      • ConditionalAE.model
      • ConditionalAE.encoder
      • ConditionalAE.history
      • ConditionalAE.create_model()
    • LSTMSeq2OneAutoencoder
      • LSTMSeq2OneAutoencoder.create_model()
    • LSTMSeqAutoencoder
      • LSTMSeqAutoencoder.create_model()
    • MultilayerAutoencoder
      • MultilayerAutoencoder.model
      • MultilayerAutoencoder.encoder
      • MultilayerAutoencoder.history
      • MultilayerAutoencoder.create_model()
    • energy_fault_detector.autoencoders.seq2one_autoencoder
      • Seq2OneAutoencoder
    • energy_fault_detector.autoencoders.seq2seq_autoencoder
      • Seq2SeqAutoencoder
    • energy_fault_detector.autoencoders.sequence_autoencoder
      • SequenceAutoencoder
  • energy_fault_detector.config
    • Config
      • Config.arcana_params
      • Config.data_clipping
      • Config.data_clipping_params
      • Config.data_preprocessor_steps
      • Config.data_split_params
      • Config.dtype
      • Config.fit_threshold_on_val
      • Config.max_criticality
      • Config.protect_conditional_features
      • Config.root_cause_analysis
    • generate_quickstart_config()
  • energy_fault_detector.core
    • AnomalyScore
      • AnomalyScore.fit()
      • AnomalyScore.set_fit_request()
      • AnomalyScore.set_transform_request()
      • AnomalyScore.transform()
    • DataTransformer
      • DataTransformer.fit()
      • DataTransformer.get_feature_names_out()
      • DataTransformer.inverse_transform()
      • DataTransformer.set_fit_request()
      • DataTransformer.set_inverse_transform_request()
      • DataTransformer.set_transform_request()
      • DataTransformer.transform()
    • FaultDetectionResult
      • FaultDetectionResult.anomaly_score
      • FaultDetectionResult.arcana_losses
      • FaultDetectionResult.bias_data
      • FaultDetectionResult.criticality()
      • FaultDetectionResult.load()
      • FaultDetectionResult.predicted_anomalies
      • FaultDetectionResult.recon_error
      • FaultDetectionResult.reconstruction
      • FaultDetectionResult.save()
      • FaultDetectionResult.tracked_bias
    • ModelMetadata
      • ModelMetadata.model_date
      • ModelMetadata.model_path
      • ModelMetadata.train_recon_error
      • ModelMetadata.val_recon_error
    • ThresholdSelector
      • ThresholdSelector.threshold
      • ThresholdSelector.__sklearn_is_fitted__()
      • ThresholdSelector.fit()
      • ThresholdSelector.predict()
      • ThresholdSelector.set_fit_request()
      • ThresholdSelector.set_predict_request()
      • ThresholdSelector.set_score_request()
    • energy_fault_detector.core.autoencoder
      • Autoencoder
      • split_inputs()
  • energy_fault_detector.data_preprocessing
    • energy_fault_detector.data_preprocessing.angle_transformer
      • AngleTransformer
    • energy_fault_detector.data_preprocessing.column_selector
      • ColumnSelector
    • energy_fault_detector.data_preprocessing.counter_diff_transformer
      • CounterDiffTransformer
    • energy_fault_detector.data_preprocessing.data_clipper
      • DataClipper
    • energy_fault_detector.data_preprocessing.data_preprocessor
      • DataPreprocessor
    • energy_fault_detector.data_preprocessing.duplicate_value_to_nan
      • DuplicateValuesToNan
    • energy_fault_detector.data_preprocessing.low_unique_value_filter
      • LowUniqueValueFilter
    • energy_fault_detector.data_preprocessing.timestamp_transformer
      • TimestampTransformer
  • energy_fault_detector.data_splitting
    • energy_fault_detector.data_splitting.data_gap_handler
      • DataGapHandler
      • shift_array()
    • energy_fault_detector.data_splitting.data_splitter
      • BlockDataSplitter
    • energy_fault_detector.data_splitting.sequence_dataset
      • SequenceDatasetBuilder
  • energy_fault_detector.evaluation
    • energy_fault_detector.evaluation.care2compare
      • Care2CompareDataset
    • energy_fault_detector.evaluation.care_score
      • CAREScore
    • energy_fault_detector.evaluation.predist_dataset
      • PreDistDataset
  • energy_fault_detector.quick_fault_detection
    • quick_fault_detector()
  • energy_fault_detector.root_cause_analysis
    • energy_fault_detector.root_cause_analysis.arcana
      • Arcana
    • energy_fault_detector.root_cause_analysis.arcana_utils
      • calculate_arcana_importance_time_series()
      • calculate_mean_arcana_importances()
  • energy_fault_detector.threshold_selectors
    • AdaptiveThresholdSelector
      • AdaptiveThresholdSelector.fit()
      • AdaptiveThresholdSelector.predict()
      • AdaptiveThresholdSelector.set_fit_request()
      • AdaptiveThresholdSelector.set_predict_request()
      • AdaptiveThresholdSelector.set_score_request()
    • FDRSelector
      • FDRSelector.threshold
      • FDRSelector.actual_false_discovery_rate_
      • FDRSelector.fit()
      • FDRSelector.set_fit_request()
      • FDRSelector.set_predict_request()
      • FDRSelector.set_score_request()
    • FbetaSelector
      • FbetaSelector.threshold
      • FbetaSelector.fit()
      • FbetaSelector.mark_normal_outliers()
      • FbetaSelector.set_fit_request()
      • FbetaSelector.set_predict_request()
      • FbetaSelector.set_score_request()
    • QuantileThresholdSelector
      • QuantileThresholdSelector.threshold
      • QuantileThresholdSelector.fit()
      • QuantileThresholdSelector.set_fit_request()
      • QuantileThresholdSelector.set_predict_request()
      • QuantileThresholdSelector.set_score_request()
  • energy_fault_detector.utils
    • energy_fault_detector.utils.analysis
      • calculate_criticality()
      • create_events()
    • energy_fault_detector.utils.data_downloads
      • download_backblaze_data()
      • download_zenodo_data()
    • energy_fault_detector.utils.visualisation
      • animate_bias()
      • animate_corrected_input()
      • plot_arcana_importance_series()
      • plot_arcana_losses()
      • plot_arcana_mean_importances()
      • plot_learning_curve()
      • plot_reconstruction()
      • plot_reconstruction_with_model()
      • plot_score_with_threshold()
  • energy_fault_detector.registration
    • Registry
      • Registry.get()
      • Registry.get_alternative_class_names()
      • Registry.print_available_classes()
      • Registry.register()
    • register()