code: def deserialize_param(param, fit_intercept=False):
      w = param["coef_"]
      if fit_intercept:
          w.append(param["intercept_"])
      dtype = param["dtype"]
      w = torch.tensor(w, dtype=getattr(torch, dtype))
      return w
  
imports: import torch
label_desc: Use image node_id 4 for calling a global function with example usage: deserialize_param(param, fit_intercept) and returns: w