class_docstr: Base Class for AnomalyDetector algorithm.
docstr: Get anomaly scores for the time series.
  :return TimeSeries: a TimeSeries representation of the anomaly scores.
docstr_tok: ["Get","anomaly","scores","for","the","time","series",".",":","return","TimeSeries",":","a","TimeSeries","representation","of","the","anomaly","scores","."]
code: def get_scores(self):
      """
      Get anomaly scores for the time series.
      :return TimeSeries: a TimeSeries representation of the anomaly scores.
      """
      return self.anom_scores
  
file_path: luminol/src/luminol/algorithms/anomaly_detector_algorithms/__init__.py
imports: from luminol.constants import DEFAULT_NOISE_PCT_THRESHOLD
label_desc: Use image node_id 5 for calling the AnomalyDetectorAlgorithm obj's underlying member method code with example usage: obj.get_scores() and returns: self