class_docstr: Mondrian Tree Classifier branch node.
  
  Parameters
  ----------
  parent
      Parent node of the branch.
  time
      Split time characterizing the branch.
  depth
      Depth of the branch in the tree.
  feature
      Feature of the branch.
  threshold
      Acceptation threshold of the branch.
  *children
      Children nodes of the branch.
code: def __init__(
      self, parent, time, depth, feature, threshold, *children
  ):
      super().__init__(
          parent, time, depth, feature, threshold, *children
      )
  
imports: from __future__ import annotations
  import collections
  import math
  from river import base, stats
  from river.tree.base import Branch, Leaf
  from river.utils.math import log_sum_2_exp
label_desc: Use image node_id 1 to create a new MondrianBranchClassifier object from inherited base classes: MondrianNodeClassifier, MondrianBranch with example: obj = MondrianBranchClassifier(parent, time, depth, feature, threshold)