code: def reset_parameters(self):
      stdv = 1.0 / math.sqrt(self.weight.size(1))
      self.weight.data.uniform_(-stdv, stdv)
      if self.bias is not None:
          self.bias.data.uniform_(-stdv, stdv)
  
file_path: AIX360/aix360/algorithms/cofrnet/CustomizedLinearClasses.py
imports: import pandas
  import numpy
  import pandas
  import torch
  import torch.nn
  import torch.autograd
  from torch.autograd import Function
  from torch.nn.parameter import Parameter
  import torch.nn.functional
  import math
label_desc: Use image node_id 2 for calling the CustomizedLinear obj's underlying member method code with example usage: obj.reset_parameters() without return types