code: def distribution(
      self, distr_args, loc=None, scale=None, **kwargs
  ) -> Distribution:
      distr = Categorical(distr_args)
      return distr
  
imports: from typing import List, Tuple
  import mxnet
  import numpy
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from .distribution import Distribution, _sample_multiple, getF
  from .distribution_output import DistributionOutput
label_desc: Use image node_id 3 for calling the CategoricalOutput obj's underlying member method code with example usage: obj.distribution(distr_args, loc, scale) and returns: distr