class_docstr: Variance Reduction split criterion.
  
  Often employed in cases where the target variable is continuous (regression tree),
  meaning that use of many other metrics would first require discretization before being applied.
  
  References
  ----------
  [Wikipedia entry](https://en.wikipedia.org/wiki/Decision_tree_learning#Variance_reduction)
code: def compute_var(dist):
      return dist.get()
  
file_path: river/river/tree/split_criterion/variance_reduction_split_criterion.py
imports: from __future__ import annotations
  from .base import SplitCriterion
label_desc: Use image node_id 3 for calling the VarianceReductionSplitCriterion obj's underlying member method code with example usage: obj.compute_var(dist) and returns: dist