code: def __init__(
      self, lb_obs: float = 0.0, fix_lambda_2: bool = True
  ) -> None:
      super().__init__()
      self.lb_obs = lb_obs
      self.fix_lambda_2 = fix_lambda_2
  
imports: from typing import Dict, List, Tuple
  import mxnet
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .bijection import Bijection, InverseBijection
  from .bijection_output import BijectionOutput
  from .distribution import getF, softplus
label_desc: Use image node_id 1 to create a new BoxCoxTransformOutput object from inherited base classes: BijectionOutput with example: obj = BoxCoxTransformOutput(lb_obs, fix_lambda_2)