code: def _init_params(self):
      # initialize RevIN params: (C,)
      self.affine_weight = nn.Parameter(torch.ones(self.num_features))
      self.affine_bias = nn.Parameter(torch.zeros(self.num_features))
  
imports: import math
  import numpy
  from typing import Optional
  import torch
  import torch.nn
  import torch.nn.functional
  from ..common._base_windows import BaseWindows
  from ..losses.pytorch import MAE
label_desc: Use image node_id 3 for calling the RevIN obj's underlying member method code with example usage: obj._init_params() without return types