class_docstr: BaseParameterServer
  
  Parameter servers can be started and stopped. Server implementations have
  to cater to the needs of their respective BaseParameterClient instances.
class_docstr_tok: ["BaseParameterServer","Parameter","servers","can","be","started","and","stopped",".","Server","implementations","have","to","cater","to","the","needs","of","their","respective","BaseParameterClient","instances","."]
docstr: Terminate the parameter server instance.
          
docstr_tok: ["Terminate","the","parameter","server","instance","."]
code: def stop(self):
      """Terminate the parameter server instance."""
      raise NotImplementedError
  
imports: import abc
  import pickle
  import socket
  from threading import Thread
  from flask import Flask, request
  from multiprocessing import Process
  from tensorflow.keras.models import Model
  from elephas.utils.sockets import determine_master
  from elephas.utils.sockets import receive, send
  from elephas.utils.serialization import dict_to_model
  from elephas.utils.rwlock import RWLock
  from elephas.utils.notebook_utils import is_running_in_notebook
  from elephas.utils import subtract_params
label_desc: Use image node_id 3 for calling the BaseParameterServer obj's underlying member method code with example usage: obj.stop() without return types