energy_fault_detector.core

This module contains class templates for most of the anomaly detection classes, such as autoencoders, anomaly scores, threshold selectors and data classes.

• energy_fault_detector.core.anomaly_score
  • AnomalyScore
    • AnomalyScore.fit()
    • AnomalyScore.transform()
• energy_fault_detector.core.autoencoder
  • Autoencoder
    • Autoencoder.is_conditional
    • Autoencoder.model
    • Autoencoder.encoder
    • Autoencoder.history
    • Autoencoder.callbacks
    • Autoencoder.__call__()
    • Autoencoder.compile_model()
    • Autoencoder.create_model()
    • Autoencoder.encode()
    • Autoencoder.fit()
    • Autoencoder.get_reconstruction_error()
    • Autoencoder.load()
    • Autoencoder.predict()
    • Autoencoder.save()
    • Autoencoder.tune()
    • Autoencoder.tune_decoder()
  • split_inputs()
• energy_fault_detector.core.data_transformer
  • DataTransformer
    • DataTransformer.fit()
    • DataTransformer.get_feature_names_out()
    • DataTransformer.inverse_transform()
    • DataTransformer.transform()
• energy_fault_detector.core.fault_detection_model
  • FaultDetectionModel
    • FaultDetectionModel.anomaly_score
    • FaultDetectionModel.autoencoder
    • FaultDetectionModel.threshold_selector
    • FaultDetectionModel.data_preprocessor
    • FaultDetectionModel.save_timestamps
    • FaultDetectionModel.fit()
    • FaultDetectionModel.load_models()
    • FaultDetectionModel.predict()
    • FaultDetectionModel.save_models()
    • FaultDetectionModel.train()
    • FaultDetectionModel.train_val_split()
  • NoTrainingData
• energy_fault_detector.core.fault_detection_result
  • FaultDetectionResult
    • FaultDetectionResult.anomaly_score
    • FaultDetectionResult.arcana_losses
    • FaultDetectionResult.bias_data
    • 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
• energy_fault_detector.core.model_factory
  • ModelFactory
    • ModelFactory.anomaly_score
    • ModelFactory.autoencoder
    • ModelFactory.data_preprocessor
    • ModelFactory.threshold_selector
• energy_fault_detector.core.save_load_mixin
  • SaveLoadMixin
    • SaveLoadMixin.load()
    • SaveLoadMixin.save()
• energy_fault_detector.core.threshold_selector
  • ThresholdSelector
    • ThresholdSelector.threshold
    • ThresholdSelector.__sklearn_is_fitted__()
    • ThresholdSelector.fit()
    • ThresholdSelector.predict()