class_docstr: Base Class for AnomalyDetector algorithm.
docstr: Run the algorithm to get anomalies.
  return list: a list of Anomaly objects.
docstr_tok: ["Run","the","algorithm","to","get","anomalies",".","return","list",":","a","list","of","Anomaly","objects","."]
code: def run(self):
      """
      Run the algorithm to get anomalies.
      return list: a list of Anomaly objects.
      """
      self._set_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 2 for calling the AnomalyDetectorAlgorithm obj's underlying member method code with example usage: obj.run() and returns: self