训练Sagemaker的Sklearn Recression模型时，内核重新启动

Question

我一直在尝试培训一个回归模型，并拥有有关AWS Sagemaker的大数据。

我上一次尝试使用的实例是ML.M5.12Xlarge，我相信这次会起作用，但没有。我仍然有错误。

在训练中进行了几分钟之后，我在CloudWatch上遇到了此错误：

[E 07:00:35.308 NotebookApp] KernelRestarter: restart callback <bound method ZMQChannelsHandler.on_kernel_restarted of ZMQChannelsHandler(f92aff37-be6b-48df-a5f5-522bcc6dd072)> failed
Traceback (most recent call last):
  File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/jupyter_client/restarter.py", line 86, in _fire_callbacks
    callback()
  File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/notebook/services/kernels/handlers.py", line 473, in on_kernel_restarted
    self._send_status_message('restarting')
  File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/notebook/services/kernels/handlers.py", line 469, in _send_status_message
    self.write_message(json.dumps(msg, default=date_default))
  File "/home/ec2-user/anaconda3/envs/JupyterSystemEnv/lib/python3.7/site-packages/tornado/websocket.py", line 337, in write_message
    raise WebSocketClosedError()
tornado.websocket.WebSocketClosedError

有人可能知道该错误可能是什么？