class_docstr: add a small gaussian noise to the feature.
  Parameters
  ----------
  mu: float
      mean of the gaussian noise
  sigma: float
      standard deviation of the gaussian noise
  p: float
      probability of noise
class_docstr_tok: ["add","a","small","gaussian","noise","to","the","feature",".","Parameters","--","--","--","--","--","mu",":","float","mean","of","the","gaussian","noise","sigma",":","float","standard","deviation","of","the","gaussian","noise","p",":","float","probability","of","noise"]
code: def __repr__(self):
      return "Jitter(mu={}, sigma={})".format(self.mu, self.sigma)
  
imports: import random
  import torch
label_desc: Use image node_id 3 for calling the Jitter obj's underlying member method code with example usage: obj.__repr__() and returns: str