code: def extra_repr(self):
      # (Optional)Set the extra information about this module. You can test
      # it by printing an object of this class.
      return "input_features={}, output_features={}, bias={}".format(
          self.input_features,
          self.output_features,
          self.bias is not None,
      )
  
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 4 for calling the CustomizedLinear obj's underlying member method code with example usage: obj.extra_repr() and returns: str