class_docstr: A monitor process for monitoring worker log files.
code: def start_log_monitor(driver_ip, driver_port, log_path, partition_id):
      def _start_log_monitor(
          driver_ip, driver_port, log_path, thread_stopped, partition_id
      ):
          """
          Start a log monitor thread.
  
          """
          log_monitor = LogMonitor(
              driver_ip=driver_ip,
              driver_port=driver_port,
              log_path=log_path,
              thread_stopped=thread_stopped,
              partition_id=partition_id,
          )
          log_monitor.run()
  
      import threading
  
      thread_stopped = threading.Event()
      logger_thread = threading.Thread(
          target=_start_log_monitor,
          args=(
              driver_ip,
              driver_port,
              log_path,
              thread_stopped,
              partition_id,
          ),
          name="monitor_logs",
      )
      logger_thread.daemon = True
      logger_thread.start()
      return logger_thread, thread_stopped
  
file_path: BigDL/python/orca/src/bigdl/orca/learn/log_monitor.py
imports: import logging
  import os
  import time
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 6 for calling the LogMonitor obj's underlying member method code with example usage: obj.start_log_monitor(driver_ip, driver_port, log_path, partition_id) and returns: logger_thread,  thread_stopped