class_docstr: Tracks values for numerically stable mean and covariance calculation.
class_docstr_tok: ["Tracks","values","for","numerically","stable","mean","and","covariance","calculation","."]
code: def __init__(self):
      self.count = 0
      self.mean = None
      self.covariance = None
  
imports: from typing import Optional
  import numpy
label_desc: Use image node_id 1 to create a new MeanCovAccumulator object from inherited base classes: object with example: obj = MeanCovAccumulator()