docstr: Return the parameter projection layer that maps the input to the appropriate parameters of the distribution.
code: def get_parameter_projection(self, in_features: int) -> nn.Module:
      r"""
      Return the parameter projection layer that maps the input to the appropriate parameters of the distribution.
      """
      return ParameterProjection(
          in_features=in_features,
          args_dim=self.args_dim,
          domain_map=LambdaLayer(self.domain_map),
      )
  
imports: from typing import Callable, Dict, Optional, Tuple
  import torch
  from torch import nn
  from torch.distributions import AffineTransform, Distribution, Independent, NegativeBinomial, Normal, StudentT, TransformedDistribution
label_desc: Use image node_id 7 for calling the DistributionOutput obj's underlying member method code with example usage: obj.get_parameter_projection(in_features) and returns: ParameterProjection