class_docstr: Class to construct a distribution given the output of a network.
code: def _base_distribution(self, distr_args):
      return self.distr_cls(*distr_args)
  
imports: from typing import Dict, Optional, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from torch.distributions import Beta, Distribution, Gamma, Laplace, Normal, Poisson
  from gluonts.core.component import validated
  from gluonts.model.forecast_generator import DistributionForecastGenerator, ForecastGenerator
  from gluonts.torch.distributions import AffineTransformed
  from .output import Output
label_desc: Use image node_id 2 for calling the DistributionOutput obj's underlying member method code with example usage: obj._base_distribution(distr_args) and returns: self