code: def BOOT(**kwargs):
      """BOOT class for Bootstrapping thresholder.
  
      Use a boostrapping based method to find a non-parametric means
      to threshold scores generated by the decision_scores where outliers
      are set to any value beyond the mean of the confidence intervals.
  
      Parameters
      ----------
  
      random_state : int, optional (default=1234)
           Random seed for bootstrapping a confidence interval. Can also be set to None.
  
      """
  
      from pythresh.thresholds.boot import BOOT as BOOT_thres
  
      return BOOT_thres(**kwargs)
  
label_desc: Use image node_id 2 for calling a global function with example usage: BOOT() and returns: BOOT_thres