code: def distribution(
      self, distr_args, loc=None, scale=None, **kwargs
  ) -> Distribution:
      distr = LowrankMultivariateGaussian(
          self.dim, self.rank, *distr_args
      )
      if loc is None and scale is None:
          return distr
      else:
          return AffineTransformedDistribution(
              distr, loc=loc, scale=scale
          )
  
imports: import math
  from typing import Optional, Tuple
  import numpy
  from mxnet import gluon
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import ArgProj, DistributionOutput, AffineTransformedDistribution
label_desc: Use image node_id 3 for calling the LowrankMultivariateGaussianOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: distr, AffineTransformedDistribution