class_docstr: A utility class for PLDA class used for statistics calculations.
  
  This is also used to pack deep embeddings and meta-information in one object.
  
  Arguments
  ---------
  modelset : list
      List of model IDs for each session as an array of strings.
  segset : list
      List of session IDs as an array of strings.
  start : int
      Index of the first frame of the segment.
  stop : int
      Index of the last frame of the segment.
  stat0 : tensor
      An ndarray of float64. Each line contains 0-th order statistics
      from the corresponding session.
  stat1 : tensor
      An ndarray of float64. Each line contains 1-st order statistics
      from the corresponding session.
docstr: Saves stats in picke format.
  
  Arguments
  ---------
  filename : path
      Path where the pickle file will be stored.
docstr_tok: ["Saves","stats","in","picke","format",".","Arguments","--","--","--","--","-","filename",":","path","Path","where","the","pickle","file","will","be","stored","."]
code: def save_stat_object(self, filename):
      """Saves stats in picke format.
  
      Arguments
      ---------
      filename : path
          Path where the pickle file will be stored.
      """
      with open(filename, "wb") as output:
          pickle.dump(self, output, pickle.HIGHEST_PROTOCOL)
  
imports: import numpy
  import copy
  import pickle
  from scipy import linalg
label_desc: Use image node_id 3 for calling the StatObject_SB obj's underlying member method code with example usage: obj.save_stat_object(filename) without return types