我正在使用H2O的机器学习软件包（随机森林）。
偶尔会收到此错误：
H2OConnectionError: Unexpected HTTP error: HTTPConnectionPool(host='localhost', port=54321): Max retries exceeded with url: /3/PostFile (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f176f9f39d0>: Failed to establish a new connection: [Errno 111] Connection refused',))
重新启动H2O服务器和/或重试我的命令的一些组合（我不确定哪一个，因为它深埋在我的代码中但是它在h2o.init()之后在构建H2O数据框之前）似乎最终会解决错误。
有没有办法提升Max重试次数？
我的配置。 Ubuntu 16.04-2 x86_64 GNU / Linux。我使用的是Python API。
H 2 O：
Checking whether there is an H2O instance running at http://localhost:54321..... not found.
Attempting to start a local H2O server...
Java Version: openjdk version "1.8.0_151"; OpenJDK Runtime Environment (build 1.8.0_151-8u151-b12-0ubuntu0.16.04.2-b12); OpenJDK 64-Bit Server VM (build 25.151-b12, mixed mode)
Starting server from /usr/local/lib/python2.7/dist-packages/h2o/backend/bin/h2o.jar
Ice root: /tmp/tmpGnu_MH
JVM stdout: /tmp/tmpGnu_MH/h2o_clem_started_from_python.out
JVM stderr: /tmp/tmpGnu_MH/h2o_clem_started_from_python.err
Server is running at http://127.0.0.1:54321
Connecting to H2O server at http://127.0.0.1:54321... successful.
H2O cluster uptime: 05 secs
H2O cluster version: 3.16.0.4
H2O cluster version age: 10 days
H2O cluster name: H2O_from_python_clem_30vfd8
H2O cluster total nodes: 1
H2O cluster free memory: 13.95 Gb
H2O cluster total cores: 8
H2O cluster allowed cores: 7
H2O cluster status: accepting new members, healthy
H2O connection url: http://127.0.0.1:54321
H2O connection proxy: None
H2O internal security: False
H2O API Extensions: XGBoost, Algos, AutoML, Core V3, Core V4
Python version: 2.7.12 final
（已添加）我实际上遇到了制作数据帧的问题：
/usr/local/lib/python2.7/dist-packages/h2o/frame.pyc in __init__(self, python_obj, destination_frame, header, separator, column_names, column_types, na_strings)
100 if python_obj is not None:
101 self._upload_python_object(python_obj, destination_frame, header, separator,
--> 102 column_names, column_types, na_strings)
103
104 @staticmethod
/usr/local/lib/python2.7/dist-packages/h2o/frame.pyc in _upload_python_object(self, python_obj, destination_frame, header, separator, column_names, column_types, na_strings)
141 csv_writer.writerows(data_to_write)
142 tmp_file.close() # close the streams
--> 143 self._upload_parse(tmp_path, destination_frame, 1, separator, column_names, column_types, na_strings)
144 os.remove(tmp_path) # delete the tmp file
145
/usr/local/lib/python2.7/dist-packages/h2o/frame.pyc in _upload_parse(self, path, destination_frame, header, sep, column_names, column_types, na_strings)
315
316 def _upload_parse(self, path, destination_frame, header, sep, column_names, column_types, na_strings):
--> 317 ret = h2o.api("POST /3/PostFile", filename=path)
318 rawkey = ret["destination_frame"]
319 self._parse(rawkey, destination_frame, header, sep, column_names, column_types, na_strings)
/usr/local/lib/python2.7/dist-packages/h2o/h2o.pyc in api(endpoint, data, json, filename, save_to)
101 # type checks are performed in H2OConnection class
102 _check_connection()
--> 103 return h2oconn.request(endpoint, data=data, json=json, filename=filename, save_to=save_to)
104
105
/usr/local/lib/python2.7/dist-packages/h2o/backend/connection.pyc in request(self, endpoint, data, json, filename, save_to)
408 else:
409 self._log_end_exception(e)
--> 410 raise H2OConnectionError("Unexpected HTTP error: %s" % e)
411 except requests.exceptions.Timeout as e:
412 self._log_end_exception(e)
H2OConnectionError: Unexpected HTTP error: HTTPConnectionPool(host='localhost', port=54321): Max retries exceeded with url: /3/PostFile (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fcc564de750>: Failed to establish a new connection: [Errno 111] Connection refused',))
答案 0 :(得分：0)
尝试重新启动jupyter内核，然后重新启动H2O。
h2o.init(ip="127.0.0.1",max_mem_size_GB = 2)