尝试在h2o(版本3.20.0.5)中训练DRF分类器时,出现错误“H2OServerError:HTTP500服务器错误”,没有进一步解释。
---------------------------------------------------------------------------
H2OServerError Traceback (most recent call last)
<ipython-input-44-f52d1cb4b77a> in <module>()
4 training_frame=train_u, validation_frame=val_u,
5 weights_column='weight',
----> 6 max_runtime_secs=max_train_time_hrs*60*60)
7
8
/home/mapr/python-virtual-envs/ml1c/venv/lib/python2.7/site-packages/h2o/estimators/estimator_base.pyc in train(self, x, y, training_frame, offset_column, fold_column, weights_column, validation_frame, max_runtime_secs, ignored_columns, model_id, verbose)
224 rest_ver = parms.pop("_rest_version") if "_rest_version" in parms else 3
225
--> 226 model_builder_json = h2o.api("POST /%d/ModelBuilders/%s" % (rest_ver, self.algo), data=parms)
227 model = H2OJob(model_builder_json, job_type=(self.algo + " Model Build"))
228
/home/mapr/python-virtual-envs/ml1c/venv/lib/python2.7/site-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
/home/mapr/python-virtual-envs/ml1c/venv/lib/python2.7/site-packages/h2o/backend/connection.pyc in request(self, endpoint, data, json, filename, save_to)
400 auth=self._auth, verify=self._verify_ssl_cert, proxies=self._proxies)
401 self._log_end_transaction(start_time, resp)
--> 402 return self._process_response(resp, save_to)
403
404 except (requests.exceptions.ConnectionError, requests.exceptions.HTTPError) as e:
/home/mapr/python-virtual-envs/ml1c/venv/lib/python2.7/site-packages/h2o/backend/connection.pyc in _process_response(response, save_to)
728 # Note that it is possible to receive valid H2OErrorV3 object in this case, however it merely means the server
729 # did not provide the correct status code.
--> 730 raise H2OServerError("HTTP %d %s:\n%r" % (status_code, response.reason, data))
731
732
H2OServerError: HTTP 500 Server Error:
Server error java.lang.NullPointerException:
Error: Caught exception: java.lang.NullPointerException
Request: None
max_train_time_hrs = 8
drf_proc.train(
x=train_features, y=train_response,
training_frame=train_u, validation_frame=val_u,
weights_column='weight',
max_runtime_secs=max_train_time_hrs*60*60)
运行
h2o.init()
命令看起来像
Checking whether there is an H2O instance running at http://172.18.4.62:54321. connected.
Warning: Your H2O cluster version is too old (7 months and 24 days)! Please download and install the latest version from http://h2o.ai/download/
H2O cluster uptime: 06 secs
H2O cluster timezone: Pacific/Honolulu
H2O data parsing timezone: UTC
H2O cluster version: 3.20.0.5
H2O cluster version age: 7 months and 24 days !!!
H2O cluster name: H2O_88021
H2O cluster total nodes: 4
H2O cluster free memory: 15.34 Gb
H2O cluster total cores: 8
H2O cluster allowed cores: 8
H2O cluster status: accepting new members, healthy
H2O connection url: http://172.18.4.62:54321
H2O connection proxy: None
H2O internal security: False
H2O API Extensions: AutoML, XGBoost, Algos, Core V3, Core V4
Python version: 2.7.12 fin
关于这里可能发生的事情或者可以研究的调试步骤,有什么想法吗?
