code: def __init__(self, rmin=0, rmax=1, adjust=True, eta=1.1, s=1.1):
      super().__init__()
  
      assert rmin <= rmax, (rmin, rmax)
  
      self.rho = 1
      self.eta = eta
      self.s = s
      self.rmin = rmin
      self.rmax = rmax
      self.adjust = adjust
  
      self.t = 0
  
      self.sumwsqrsq = incremental_f_sum()
      self.sumwsqr = incremental_f_sum()
      self.sumwsq = incremental_f_sum()
      self.sumwr = incremental_f_sum()
      self.sumw = incremental_f_sum()
      self.sumwrxhatlow = incremental_f_sum()
      self.sumwxhatlow = incremental_f_sum()
      self.sumxhatlowsq = incremental_f_sum()
      self.sumwrxhathigh = incremental_f_sum()
      self.sumwxhathigh = incremental_f_sum()
      self.sumxhathighsq = incremental_f_sum()
  
file_path: vowpal_wabbit/python/tests/confidence_sequence.py
imports: from cmath import sqrt
label_desc: Use image node_id 1 to create a new confidence_sequence object from inherited base classes: object with example: obj = confidence_sequence(rmin, rmax, adjust, eta, s)