class_docstr: An abstract class for box decompositions.
  
  Note: Internally, we store the negative reference point (minimization).
  
  :meta private:
docstr: Reset non-dominated front and decomposition.
code: def reset(self) -> None:
      r"""Reset non-dominated front and decomposition."""
      self._validate_inputs()
      is_new_pareto = self._reset_pareto_Y()
      # Update decomposition if the Pareto front changed
      if is_new_pareto:
          self.partition_space()
  
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 14 for calling the BoxDecomposition obj's underlying member method code with example usage: obj.reset() without return types