class_docstr: Class to construct a distribution given the output of a network.
code: def forecast_generator(self) -> ForecastGenerator:
      return DistributionForecastGenerator(self)
  
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 8 for calling the DistributionOutput obj's underlying member method code with example usage: obj.forecast_generator() and returns: DistributionForecastGenerator