code: def __init__(
      self, stats, depth, splitter, max_features, seed, **kwargs
  ):
      super().__init__(
          stats, depth, splitter, max_features, seed, **kwargs
      )
  
imports: from __future__ import annotations
  import random
  import typing
  from river.tree.nodes.htr_nodes import LeafAdaptive, LeafMean, LeafModel
  from river.tree.nodes.leaf import HTLeaf
label_desc: Use image node_id 1 to create a new ETLeafMean object from inherited base classes: ETLeaf, LeafMean with example: obj = ETLeafMean(stats, depth, splitter, max_features, seed)