class_docstr: Local linear layer, i.e. Conv1dLocal() with filter size 1.
docstr: Reset parameters
docstr_tok: ["Reset","parameters"]
code: def reset_parameters(self):
      """
      Reset parameters
      """
      k = 1.0 / self.input_features
      bound = math.sqrt(k)
      nn.init.uniform_(self.weight, -bound, bound)
      if self.bias is not None:
          nn.init.uniform_(self.bias, -bound, bound)
  
file_path: causalnex/causalnex/structure/pytorch/nonlinear.py
imports: import math
  import torch
  from torch import nn
label_desc: Use image node_id 2 for calling the LocallyConnected obj's underlying member method code with example usage: obj.reset_parameters() without return types