class_docstr: The inducing point allocator proposed by [burt2020svgp]_, that
  greedily chooses inducing point locations with maximal (conditional)
  predictive variance.
docstr: Build the unit quality function required for the greedy variance
  reduction inducing point allocation strategy.
  
  Returns:
      A quality function.
docstr_tok: ["Build","the","unit","quality","function","required","for","the","greedy","variance","reduction","inducing","point","allocation","strategy",".","Returns",":","A","quality","function","."]
code: def _get_quality_function(
      self,
  ) -> QualityFunction:
      """
      Build the unit quality function required for the greedy variance
      reduction inducing point allocation strategy.
  
      Returns:
          A quality function.
      """
  
      return UnitQualityFunction()
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Union
  import torch
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.model import Model
  from botorch.utils.probability.utils import ndtr, phi
  from gpytorch.module import Module
  from linear_operator.operators import LinearOperator
  from torch import Tensor
label_desc: Use image node_id 1 for calling the GreedyVarianceReduction obj's underlying member method code with example usage: obj._get_quality_function() and returns: UnitQualityFunction