code: def __init__(
      self, stats, depth, splitter, drift_detector, rng, **kwargs
  ):
      super().__init__(
          stats, depth, splitter, drift_detector, rng, **kwargs
      )
  
imports: from __future__ import annotations
  import math
  from river import stats
  from river.utils.random import poisson
  from .branch import DTBranch, NominalBinaryBranch, NominalMultiwayBranch, NumericBinaryBranch, NumericMultiwayBranch
  from .htr_nodes import LeafAdaptive, LeafMean, LeafModel
  from .leaf import HTLeaf
label_desc: Use image node_id 1 to create a new AdaLeafRegModel object from inherited base classes: AdaLeafRegressor, LeafModel with example: obj = AdaLeafRegModel(stats, depth, splitter, drift_detector, rng)