我正在按照this tutorial中所述的步骤进行操作：
从步骤5a开始，在该步骤中，我们将部署训练有素的模型
xgb_predictor = xgb.deploy(initial_instance_count=1,instance_type='ml.m4.xlarge')
到5b，我尝试在保留的数据上测试端点
test_data_array = test_data.drop(['y_no', 'y_yes'], axis=1).values #load the data into an array
xgb_predictor.content_type = 'text/csv' # set the data type for an inference
xgb_predictor.serializer = csv_serializer # set the serializer type
predictions = xgb_predictor.predict(test_data_array).decode('utf-8')
我收到有关关闭连接的错误，这似乎是非特定的：
ConnectionResetError Traceback (most recent call last)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
599 body=body, headers=headers,
--> 600 chunked=chunked)
601
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
353 else:
--> 354 conn.request(method, url, **httplib_request_kw)
355
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in request(self, method, url, body, headers, encode_chunked)
1238 """Send a complete request to the server."""
-> 1239 self._send_request(method, url, body, headers, encode_chunked)
1240
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in _send_request(self, method, url, body, headers, *args, **kwargs)
124 rval = super(AWSConnection, self)._send_request(
--> 125 method, url, body, headers, *args, **kwargs)
126 self._expect_header_set = False
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
1284 body = _encode(body, 'body')
-> 1285 self.endheaders(body, encode_chunked=encode_chunked)
1286
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in endheaders(self, message_body, encode_chunked)
1233 raise CannotSendHeader()
-> 1234 self._send_output(message_body, encode_chunked=encode_chunked)
1235
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in _send_output(self, message_body, *args, **kwargs)
151 message_body = None
--> 152 self.send(msg)
153 if self._expect_header_set:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in send(self, str)
235 return
--> 236 return super(AWSConnection, self).send(str)
237
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in send(self, data)
985 try:
--> 986 self.sock.sendall(data)
987 except TypeError:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in sendall(self, data, flags)
971 while count < amount:
--> 972 v = self.send(byte_view[count:])
973 count += v
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in send(self, data, flags)
940 self.__class__)
--> 941 return self._sslobj.write(data)
942 else:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in write(self, data)
641 """
--> 642 return self._sslobj.write(data)
643
ConnectionResetError: [Errno 104] Connection reset by peer
During handling of the above exception, another exception occurred:
ProtocolError Traceback (most recent call last)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/httpsession.py in send(self, request)
262 decode_content=False,
--> 263 chunked=self._chunked(request.headers),
264 )
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
637 retries = retries.increment(method, url, error=e, _pool=self,
--> 638 _stacktrace=sys.exc_info()[2])
639 retries.sleep()
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/util/retry.py in increment(self, method, url, response, error, _pool, _stacktrace)
342 # Disabled, indicate to re-raise the error.
--> 343 raise six.reraise(type(error), error, _stacktrace)
344
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/packages/six.py in reraise(tp, value, tb)
684 if value.__traceback__ is not tb:
--> 685 raise value.with_traceback(tb)
686 raise value
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
599 body=body, headers=headers,
--> 600 chunked=chunked)
601
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
353 else:
--> 354 conn.request(method, url, **httplib_request_kw)
355
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in request(self, method, url, body, headers, encode_chunked)
1238 """Send a complete request to the server."""
-> 1239 self._send_request(method, url, body, headers, encode_chunked)
1240
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in _send_request(self, method, url, body, headers, *args, **kwargs)
124 rval = super(AWSConnection, self)._send_request(
--> 125 method, url, body, headers, *args, **kwargs)
126 self._expect_header_set = False
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in _send_request(self, method, url, body, headers, encode_chunked)
1284 body = _encode(body, 'body')
-> 1285 self.endheaders(body, encode_chunked=encode_chunked)
1286
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in endheaders(self, message_body, encode_chunked)
1233 raise CannotSendHeader()
-> 1234 self._send_output(message_body, encode_chunked=encode_chunked)
1235
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in _send_output(self, message_body, *args, **kwargs)
151 message_body = None
--> 152 self.send(msg)
153 if self._expect_header_set:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/awsrequest.py in send(self, str)
235 return
--> 236 return super(AWSConnection, self).send(str)
237
~/anaconda3/envs/tensorflow_p36/lib/python3.6/http/client.py in send(self, data)
985 try:
--> 986 self.sock.sendall(data)
987 except TypeError:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in sendall(self, data, flags)
971 while count < amount:
--> 972 v = self.send(byte_view[count:])
973 count += v
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in send(self, data, flags)
940 self.__class__)
--> 941 return self._sslobj.write(data)
942 else:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/ssl.py in write(self, data)
641 """
--> 642 return self._sslobj.write(data)
643
ProtocolError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
During handling of the above exception, another exception occurred:
ConnectionClosedError Traceback (most recent call last)
<ipython-input-54-866c1007c96f> in <module>()
2 xgb_predictor.content_type = 'text/csv' # set the data type for an inference
3 xgb_predictor.serializer = csv_serializer # set the serializer type
----> 4 predictions = xgb_predictor.predict(test_data_array).decode('utf-8') # predict!
5 predictions_array = np.fromstring(predictions[1:], sep=',') # and turn the prediction into an array
6 print(predictions_array.shape)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/sagemaker/predictor.py in predict(self, data, initial_args)
105
106 request_args = self._create_request_args(data, initial_args)
--> 107 response = self.sagemaker_session.sagemaker_runtime_client.invoke_endpoint(**request_args)
108 return self._handle_response(response)
109
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)
355 "%s() only accepts keyword arguments." % py_operation_name)
356 # The "self" in this scope is referring to the BaseClient.
--> 357 return self._make_api_call(operation_name, kwargs)
358
359 _api_call.__name__ = str(py_operation_name)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params)
646 else:
647 http, parsed_response = self._make_request(
--> 648 operation_model, request_dict, request_context)
649
650 self.meta.events.emit(
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/client.py in _make_request(self, operation_model, request_dict, request_context)
665 def _make_request(self, operation_model, request_dict, request_context):
666 try:
--> 667 return self._endpoint.make_request(operation_model, request_dict)
668 except Exception as e:
669 self.meta.events.emit(
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/endpoint.py in make_request(self, operation_model, request_dict)
100 logger.debug("Making request for %s with params: %s",
101 operation_model, request_dict)
--> 102 return self._send_request(request_dict, operation_model)
103
104 def create_request(self, params, operation_model=None):
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/endpoint.py in _send_request(self, request_dict, operation_model)
135 request, operation_model, context)
136 while self._needs_retry(attempts, operation_model, request_dict,
--> 137 success_response, exception):
138 attempts += 1
139 # If there is a stream associated with the request, we need
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/endpoint.py in _needs_retry(self, attempts, operation_model, request_dict, response, caught_exception)
229 event_name, response=response, endpoint=self,
230 operation=operation_model, attempts=attempts,
--> 231 caught_exception=caught_exception, request_dict=request_dict)
232 handler_response = first_non_none_response(responses)
233 if handler_response is None:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/hooks.py in emit(self, event_name, **kwargs)
354 def emit(self, event_name, **kwargs):
355 aliased_event_name = self._alias_event_name(event_name)
--> 356 return self._emitter.emit(aliased_event_name, **kwargs)
357
358 def emit_until_response(self, event_name, **kwargs):
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/hooks.py in emit(self, event_name, **kwargs)
226 handlers.
227 """
--> 228 return self._emit(event_name, kwargs)
229
230 def emit_until_response(self, event_name, **kwargs):
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/hooks.py in _emit(self, event_name, kwargs, stop_on_response)
209 for handler in handlers_to_call:
210 logger.debug('Event %s: calling handler %s', event_name, handler)
--> 211 response = handler(**kwargs)
212 responses.append((handler, response))
213 if stop_on_response and response is not None:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in __call__(self, attempts, response, caught_exception, **kwargs)
181
182 """
--> 183 if self._checker(attempts, response, caught_exception):
184 result = self._action(attempts=attempts)
185 logger.debug("Retry needed, action of: %s", result)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in __call__(self, attempt_number, response, caught_exception)
249 def __call__(self, attempt_number, response, caught_exception):
250 should_retry = self._should_retry(attempt_number, response,
--> 251 caught_exception)
252 if should_retry:
253 if attempt_number >= self._max_attempts:
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in _should_retry(self, attempt_number, response, caught_exception)
275 # If we've exceeded the max attempts we just let the exception
276 # propogate if one has occurred.
--> 277 return self._checker(attempt_number, response, caught_exception)
278
279
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in __call__(self, attempt_number, response, caught_exception)
315 for checker in self._checkers:
316 checker_response = checker(attempt_number, response,
--> 317 caught_exception)
318 if checker_response:
319 return checker_response
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in __call__(self, attempt_number, response, caught_exception)
221 elif caught_exception is not None:
222 return self._check_caught_exception(
--> 223 attempt_number, caught_exception)
224 else:
225 raise ValueError("Both response and caught_exception are None.")
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/retryhandler.py in _check_caught_exception(self, attempt_number, caught_exception)
357 # the MaxAttemptsDecorator is not interested in retrying the exception
358 # then this exception just propogates out past the retry code.
--> 359 raise caught_exception
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/endpoint.py in _do_get_response(self, request, operation_model)
198 http_response = first_non_none_response(responses)
199 if http_response is None:
--> 200 http_response = self._send(request)
201 except HTTPClientError as e:
202 return (None, e)
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/endpoint.py in _send(self, request)
242
243 def _send(self, request):
--> 244 return self.http_session.send(request)
245
246
~/anaconda3/envs/tensorflow_p36/lib/python3.6/site-packages/botocore/httpsession.py in send(self, request)
292 error=e,
293 request=request,
--> 294 endpoint_url=request.url
295 )
296 except Exception as e:
ConnectionClosedError: Connection was closed before we received a valid response from endpoint URL: "https://runtime.sagemaker.us-east-1.amazonaws.com/endpoints/xgboost-2019-12-18-17-33-47-561/invocations".
据我所知，端点已经很好地部署了，而且关于我发现的连接没有任何问题。关于如何调试的任何提示？