class_docstr: Class for incrementally computing the variance of a series of numbers.
class_docstr_tok: ["Class","for","incrementally","computing","the","variance","of","a","series","of","numbers","."]
code: def corrected_value(self):
      if self.true_value is None:
          return None
      elif self.n - self.ddof <= 0:
          return np.inf
      return (self.n / (self.n - self.ddof)) * self.true_value
  
imports: from abc import abstractmethod
  from typing import List
  from math import sqrt
  import numpy
label_desc: Use image node_id 5 for calling the Variance obj's underlying member method code with example usage: obj.corrected_value() and returns: unknown, None, np