class_docstr: Default detector.
  Not configurable.
docstr: Initializer
  :param TimeSeries time_series: a TimeSeries object.
  :param TimeSeries baseline_time_series: baseline TimeSeries.
code: def __init__(self, time_series, baseline_time_series=None):
      """
      Initializer
      :param TimeSeries time_series: a TimeSeries object.
      :param TimeSeries baseline_time_series: baseline TimeSeries.
      """
      self.exp_avg_detector = ExpAvgDetector(
          time_series, baseline_time_series
      )
      self.derivative_detector = DerivativeDetector(
          time_series, baseline_time_series
      )
  
file_path: luminol/src/luminol/algorithms/anomaly_detector_algorithms/default_detector.py
imports: from luminol.algorithms.anomaly_detector_algorithms.exp_avg_detector import ExpAvgDetector
  from luminol.algorithms.anomaly_detector_algorithms.derivative_detector import DerivativeDetector
  from luminol.algorithms.anomaly_detector_algorithms import AnomalyDetectorAlgorithm
  from luminol.modules.time_series import TimeSeries
  from luminol.constants import DEFAULT_DETECTOR_EMA_WEIGHT, DEFAULT_DETECTOR_EMA_SIGNIFICANT
label_desc: Use image node_id 1 to create a new DefaultDetector object from inherited base classes: AnomalyDetectorAlgorithm with example: obj = DefaultDetector(time_series, baseline_time_series)