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: Align models of the current StatServer to match a list of models
      provided as input parameter. The size of the StatServer might be
      reduced to match the input list of models.
  
  Arguments
  ---------
  model_list : ndarray of strings
      List of models to match.
docstr_tok: ["Align","models","of","the","current","StatServer","to","match","a","list","of","models","provided","as","input","parameter",".","The","size","of","the","StatServer","might","be","reduced","to","match","the","input","list","of","models",".","Arguments","--","--","--","--","-","model_list",":","ndarray","of","strings","List","of","models","to","match","."]
code: def align_models(self, model_list):
      """Align models of the current StatServer to match a list of models
          provided as input parameter. The size of the StatServer might be
          reduced to match the input list of models.
  
      Arguments
      ---------
      model_list : ndarray of strings
          List of models to match.
      """
      indx = numpy.array(
          [numpy.argwhere(self.modelset == v)[0][0] for v in model_list]
      )
      self.segset = self.segset[indx]
      self.modelset = self.modelset[indx]
      self.start = self.start[indx]
      self.stop = self.stop[indx]
      self.stat0 = self.stat0[indx, :]
      self.stat1 = self.stat1[indx, :]
  
imports: import numpy
  import copy
  import pickle
  from scipy import linalg
label_desc: Use image node_id 16 for calling the StatObject_SB obj's underlying member method code with example usage: obj.align_models(model_list) without return types