code: def forward(self, Y, Yvar):
      pass
  
imports: import itertools
  from copy import deepcopy
  import torch
  from botorch.models.transforms.outcome import Bilog, ChainedOutcomeTransform, Log, OutcomeTransform, Power, Standardize
  from botorch.models.transforms.utils import norm_to_lognorm_mean, norm_to_lognorm_variance
  from botorch.posteriors import GPyTorchPosterior, TransformedPosterior
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from linear_operator.operators import BlockDiagLinearOperator, DenseLinearOperator, DiagLinearOperator
label_desc: Use image node_id 1 for calling the NotSoAbstractOutcomeTransform obj's underlying member method code with example usage: obj.forward(Y, Yvar) without return types