class_docstr: The element stored in the quantization hash.
  
  Each slot keeps the mean values of the numerical feature, as well as the variance
  and mean of the target.
class_docstr_tok: ["The","element","stored","in","the","quantization","hash",".","Each","slot","keeps","the","mean","values","of","the","numerical","feature",",","as","well","as","the","variance","and","mean","of","the","target","."]
code: def _update_estimator_univariate(self, target, w):
      self.y_stats.update(target, w)
  
imports: from __future__ import annotations
  import functools
  import math
  import typing
  from river import stats
  from ..utils import BranchFactory
  from .base import Splitter
label_desc: Use image node_id 3 for calling the Slot obj's underlying member method code with example usage: obj._update_estimator_univariate(target, w) without return types