class_docstr: An abstract class for box decompositions.
  
  Note: Internally, we store the negative reference point (minimization).
  
  :meta private:
docstr: Get the raw outcomes.
  
  Returns:
      A `n x m`-dim tensor of outcomes.
code: def Y(self) -> Tensor:
      r"""Get the raw outcomes.
  
      Returns:
          A `n x m`-dim tensor of outcomes.
      """
      if self._neg_Y is not None:
          return -self._neg_Y
      raise BotorchError("Y data has not been initialized")
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Optional
  import torch
  from botorch.exceptions.errors import BotorchError
  from botorch.utils.multi_objective.box_decompositions.utils import _expand_ref_point, _pad_batch_pareto_frontier, update_local_upper_bounds_incremental
  from botorch.utils.multi_objective.pareto import is_non_dominated
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 4 for calling the BoxDecomposition obj's underlying member method code with example usage: obj.Y() and returns: unknown