code: def init_paramters(self, hist_step_n):
      self.twm.linear.weight.data = (
          1.0 / hist_step_n + self.twm.linear.weight.data * 0.01
      )
      self.twm.linear.bias.data.fill_(0.0)
  
file_path: qlib/qlib/contrib/meta/data_selection/net.py
imports: import numpy
  import torch
  from torch import nn
  from .utils import preds_to_weight_with_clamp, SingleMetaBase
label_desc: Use image node_id 4 for calling the PredNet obj's underlying member method code with example usage: obj.init_paramters(hist_step_n) without return types