code: def learn_one(self, x, y, **kwargs):
      for model in self:
          for _ in range(utils.random.poisson(1, self._rng)):
              model.learn_one(x, y, **kwargs)
  
imports: from __future__ import annotations
  import collections
  import statistics
  from river import base, drift, linear_model, utils
label_desc: Use image node_id 1 for calling the BaseBagging obj's underlying member method code with example usage: obj.learn_one(x, y) without return types