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Contents

  • Usage examples
  • Configuration
  • Logging Configuration
  • The EnergyFaultDetector package
    • energy_fault_detector
      • energy_fault_detector.anomaly_scores
      • energy_fault_detector.autoencoders
      • energy_fault_detector.config
      • energy_fault_detector.core
      • energy_fault_detector.data_preprocessing
      • energy_fault_detector.data_splitting
      • energy_fault_detector.evaluation
      • energy_fault_detector.quick_fault_detection
      • energy_fault_detector.root_cause_analysis
      • 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.fault_detector
      • energy_fault_detector.main
      • energy_fault_detector.registration
energy_fault_detector
  • energy_fault_detector
  • energy_fault_detector
  • energy_fault_detector.threshold_selectors
  • View page source

energy_fault_detector.threshold_selectors

Threshold selection methods

  • energy_fault_detector.threshold_selectors.adaptive_threshold
    • AdaptiveThresholdSelector
      • AdaptiveThresholdSelector.fit()
      • AdaptiveThresholdSelector.predict()
    • RegressionNN
      • RegressionNN.create_model()
      • RegressionNN.fit()
      • RegressionNN.predict()
  • energy_fault_detector.threshold_selectors.fbeta_threshold
    • FbetaSelector
      • FbetaSelector.threshold
      • FbetaSelector.fit()
      • FbetaSelector.mark_normal_outliers()
  • energy_fault_detector.threshold_selectors.fdr_threshold
    • FDRSelector
      • FDRSelector.threshold
      • FDRSelector.actual_false_discovery_rate_
      • FDRSelector.fit()
  • energy_fault_detector.threshold_selectors.quantile_threshold
    • QuantileThresholdSelector
      • QuantileThresholdSelector.threshold
      • QuantileThresholdSelector.fit()
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