code: def CHAU(**kwargs):
      """CHAU class for Chauvenet's criterion thresholder.
  
      Use the Chauvenet's criterion to evaluate a non-parametric
      means to threshold scores generated by the decision_scores
      where outliers are set to any value below the Chauvenet's
      criterion.
  
      Parameters
      ----------
  
      method : {'mean', 'median', 'gmean'}, optional (default='mean')
           Calculate the area normal to distance using a scaler
  
           - 'mean':  Construct a scaler with the mean of the scores
           - 'median: Construct a scaler with the median of the scores
           - 'gmean': Construct a scaler with the geometric mean of the scores
      """
  
      from pythresh.thresholds.chau import CHAU as CHAU_thres
  
      return CHAU_thres(**kwargs)
  
label_desc: Use image node_id 3 for calling a global function with example usage: CHAU() and returns: CHAU_thres