class_docstr: Tracks values for numerically stable mean and covariance calculation.
class_docstr_tok: ["Tracks","values","for","numerically","stable","mean","and","covariance","calculation","."]
docstr: Combines two MeanCovAccumulator, updating in place.
  
  Args:
    other: A MeanCovAccumulator to merge with self.
docstr_tok: ["Combines","two","MeanCovAccumulator",",","updating","in","place",".","Args",":","other",":","A","MeanCovAccumulator","to","merge","with","self","."]
code: def merge(self, other: "MeanCovAccumulator"):
      """Combines two MeanCovAccumulator, updating in place.
  
      Args:
        other: A MeanCovAccumulator to merge with self.
      """
      self._combine(other.count, other.mean, other.covariance)
  
imports: from typing import Optional
  import numpy
label_desc: Use image node_id 3 for calling the MeanCovAccumulator obj's underlying member method code with example usage: obj.merge(other) without return types