class_docstr: Truncated E-BST.
  
  Variation of E-BST that rounds the incoming feature values before passing them to the binary
  search tree (BST). By doing so, the attribute observer might reduce its processing time and
  memory usage since small variations in the input values will end up being mapped to the same
  BST node.
  
  Parameters
  ----------
  digits
      The number of decimal places used to round the input feature values.
code: def __init__(self, digits: int = 1):
      super().__init__()
      self.digits = digits
  
imports: from __future__ import annotations
  from .ebst_splitter import EBSTSplitter
label_desc: Use image node_id 1 to create a new TEBSTSplitter object from inherited base classes: EBSTSplitter with example: obj = TEBSTSplitter(digits)