code: def get_params(self, y_dict, design, target_labels):
      y = torch.cat(list(y_dict.values()), dim=-1)
      return self.linear_model_formula(y, design, target_labels)
  
imports: from contextlib import ExitStack
  import torch
  from torch import nn
  import pyro
  import pyro.distributions
  from pyro import poutine
  from pyro.contrib.util import iter_plates_to_shape, lexpand, rmv, rtril, rvv, tensor_to_dict
  from pyro.ops.linalg import rinverse
label_desc: Use image node_id 2 for calling the LinearModelPosteriorGuide obj's underlying member method code with example usage: obj.get_params(y_dict, design, target_labels) and returns: self