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: Return the mean of first order statistics.
          
docstr_tok: ["Return","the","mean","of","first","order","statistics","."]
code: def get_mean_stat1(self):
      """Return the mean of first order statistics."""
      mu = numpy.mean(self.stat1, axis=0)
      return mu
  
imports: import numpy
  import copy
  import pickle
  from scipy import linalg
label_desc: Use image node_id 7 for calling the StatObject_SB obj's underlying member method code with example usage: obj.get_mean_stat1() and returns: mu