class_docstr: Splitter utilized to monitor nominal features in regression tasks.
  
  As the monitored feature is nominal, it already has well-defined partitions. Hence,
  this splitter simply keeps the split-enabling target statistics for each incoming
  category.
class_docstr_tok: ["Splitter","utilized","to","monitor","nominal","features","in","regression","tasks",".","As","the","monitored","feature","is","nominal",",","it","already","has","well-defined","partitions",".","Hence",",","this","splitter","simply","keeps","the","split-enabling","target","statistics","for","each","incoming","category","."]
code: def is_numeric(self):
      return False
  
file_path: river/river/tree/splitter/nominal_splitter_reg.py
imports: from __future__ import annotations
  import functools
  from river.stats import Var
  from river.utils import VectorDict
  from ..utils import BranchFactory
  from .base import Splitter
label_desc: Use image node_id 2 for calling the NominalSplitterReg obj's underlying member method code with example usage: obj.is_numeric() and returns: False