class_docstr: Abstract class definig the basic structure for tree-base models.
docstr: Method defining the aggregation operation to execute after the model is evaluated.
  
  Args:
      x: An input tensor
  
  Returns:
      The tensor result of the aggregation
docstr_tok: ["Method","defining","the","aggregation","operation","to","execute","after","the","model","is","evaluated",".","Args",":","x",":","An","input","tensor","Returns",":","The","tensor","result","of","the","aggregation"]
code: def aggregation(self, x):
      """
      Method defining the aggregation operation to execute after the model is evaluated.
  
      Args:
          x: An input tensor
  
      Returns:
          The tensor result of the aggregation
      """
      pass
  
imports: from abc import abstractmethod
  from enum import Enum
  import numpy
  import torch
  from .None import constants
  from ._physical_operator import PhysicalOperator
  from .None import _tree_commons
label_desc: Use image node_id 2 for calling the AbstracTreeImpl obj's underlying member method code with example usage: obj.aggregation(x) without return types