Python h2o 生成错误：捕获异常：java.lang.NullPointerException
[英]Python h2o generates Error: Caught exception: java.lang.NullPointerException
问题描述
Here is my code:
这是我的代码：
import pandas as pd
import h2o
h2o.init(nthreads = 5)
my_df = pd.DataFrame({'col1':[12,3,4,5,45,6,45,7,4,2],
'col2': [12,3,1,23,43,1,3,12,32,1],
'y':[0,1,1,0,1,0,1,1,0,0]})
my_df_h2o = h2o.H2OFrame(my_df)
aml = h2o.automl.H2OAutoML(max_runtime_secs=30, seed=123)
aml.train(x=['col1', 'col2'], y='y', training_frame=my_df_h2o)
it returns:它返回：
Traceback (most recent call last):
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3441, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-9-031544adf3aa>", line 1, in <module>
aml.train(x=['col1', 'col2'], y='y', training_frame=my_df_h2o)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\automl\autoh2o.py", line 557, in train
resp = self._build_resp = h2o.api('POST /99/AutoMLBuilder', json=automl_build_params)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\h2o.py", line 113, in api
return h2oconn.request(endpoint, data=data, json=json, filename=filename, save_to=save_to)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\backend\connection.py", line 481, in request
return self._process_response(resp, save_to)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\backend\connection.py", line 823, in _process_response
raise H2OServerError("HTTP %d %s:\n%s" % (status_code, response.reason, data))
h2o.exceptions.H2OServerError: HTTP 500 Server Error:
Server error java.lang.NullPointerException:
Error: Caught exception: java.lang.NullPointerException
Request: None
The h2o server seems to be running just fine. h2o 服务器似乎运行良好。 I am not sure how to troubleshoot.我不确定如何排除故障。
UPDATE更新
As per suggestion below here are the log (available from web gui).根据下面的建议，这里是日志（可从 web gui 获得）。 This only partial log file as full log did not fit:这个仅作为完整日志的部分日志文件不适合：
08-31 10:50:23.742 127.0.0.1:54321 20836 main INFO water.default: H2O started in 5837ms
08-31 10:50:23.742 127.0.0.1:54321 20836 main INFO water.default:
08-31 10:50:23.743 127.0.0.1:54321 20836 main INFO water.default: Open H2O Flow in your web browser: http://127.0.0.1:54321
08-31 10:50:23.743 127.0.0.1:54321 20836 main INFO water.default:
08-31 10:50:23.820 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Metadata/schemas/CloudV3, parms: {}
08-31 10:50:23.847 127.0.0.1:54321 20836 0228826-17 INFO water.default: Locking cloud to new members, because water.api.schemas3.MetadataV3
08-31 10:50:23.984 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/Metadata/schemas/H2OErrorV3, parms: {}
08-31 10:50:23.995 127.0.0.1:54321 20836 0228826-13 INFO water.default: GET /3/Metadata/schemas/H2OModelBuilderErrorV3, parms: {}
08-31 10:50:24.042 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /4/sessions, parms: {}
08-31 10:50:24.055 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /99/Rapids, parms: {ast=(setTimeZone "UTC"), session_id=_sid_9a7a}
08-31 10:50:24.468 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /3/Capabilities/API, parms: {}
08-31 10:50:37.122 127.0.0.1:54321 20836 ice Thread WARN water.default: Unblock allocations; cache below desired, but also OOM: GC CALLBACK, (K/V:Zero + POJO:198.8 MB + FREE:48.7 MB == MEM_MAX:247.5 MB), desiredKV=30.9 MB OOM!
08-31 10:56:12.695 127.0.0.1:54321 20836 0228826-10 INFO water.default: GET /3/Metadata/schemas/CloudV3, parms: {}
08-31 10:56:14.752 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/Metadata/schemas/H2OErrorV3, parms: {}
08-31 10:56:16.800 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Metadata/schemas/H2OModelBuilderErrorV3, parms: {}
08-31 10:56:20.892 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /4/sessions, parms: {}
08-31 10:56:21.171 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/index.html, parms: {}
08-31 10:56:21.730 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /flow/fonts/Lato-Regular.woff2, parms: {}
08-31 10:56:21.735 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/fonts/fa-solid-900.woff2, parms: {}
08-31 10:56:21.736 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /flow/fonts/SourceCodePro-Regular.ttf.woff2, parms: {}
08-31 10:56:22.428 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /3/Metadata/endpoints, parms: {}
08-31 10:56:22.761 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/NodePersistentStorage/notebook, parms: {}
08-31 10:56:22.783 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/NodePersistentStorage/categories/environment/names/clips/exists, parms: {}
08-31 10:56:22.787 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /flow/help/catalog.json, parms: {}
08-31 10:56:22.798 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/About, parms: {}
08-31 10:56:22.804 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/ModelBuilders, parms: {}
08-31 10:56:22.938 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /99/Rapids, parms: {ast=(setTimeZone "UTC"), session_id=_sid_9257}
08-31 10:56:23.041 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /flow/fonts/fa-regular-400.woff2, parms: {}
08-31 10:56:23.059 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/fonts/Lato-Italic.woff2, parms: {}
08-31 10:56:27.015 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Capabilities/API, parms: {}
08-31 10:57:06.289 127.0.0.1:54321 20836 0228826-15 INFO water.default: Reading byte InputStream into Frame:
08-31 10:57:06.290 127.0.0.1:54321 20836 0228826-15 INFO water.default: frameKey: upload_891ff2a7def056d5c12dba0cc8e04532
08-31 10:57:06.308 127.0.0.1:54321 20836 0228826-15 INFO water.default: totalChunks: 1
08-31 10:57:06.308 127.0.0.1:54321 20836 0228826-15 INFO water.default: totalBytes: 108
08-31 10:57:06.316 127.0.0.1:54321 20836 0228826-15 INFO water.default: Success.
08-31 10:57:08.370 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /3/ParseSetup, parms: {single_quotes=False, source_frames=["upload_891ff2a7def056d5c12dba0cc8e04532"], check_header=1, separator=44}
08-31 10:57:10.584 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /3/Parse, parms: {number_columns=3, source_frames=["upload_891ff2a7def056d5c12dba0cc8e04532"], column_types=["Numeric","Numeric","Numeric"], single_quotes=False, parse_type=CSV, destination_frame=Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex, column_names=["col1","col2","y"], delete_on_done=True, check_header=1, separator=44, blocking=False, escapechar=0, chunk_size=4194304}
08-31 10:57:10.586 127.0.0.1:54321 20836 0228826-17 INFO water.default: Total file size: 108 B
08-31 10:57:10.587 127.0.0.1:54321 20836 0228826-17 INFO water.default: Parse chunk size 4194304
08-31 10:57:10.610 127.0.0.1:54321 20836 FJ-2-15 INFO water.default: Key upload_891ff2a7def056d5c12dba0cc8e04532 will be parsed using method DistributedParse.
08-31 10:57:10.640 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Parse result for Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex (10 rows, 3 columns):
08-31 10:57:10.648 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: ColV2 type min max mean sigma NAs constant cardinality
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: col1: numeric 2.00000 45.0000 13.3000 16.9316
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: col2: numeric 1.00000 43.0000 13.1000 14.8881
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: y: numeric 0.00000 1.00000 0.500000 0.527046
08-31 10:57:10.658 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Chunk compression summary:
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Chunk Type Chunk Name Count Count Percentage Size Size Percentage
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: CBS Binary 1 33.333 % 72 B 31.579 %
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: C1N 1-Byte Integers (w/o NAs) 2 66.667 % 156 B 68.421 %
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Frame distribution summary:
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Size Number of Rows Number of Chunks per Column Number of Chunks
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: 127.0.0.1:54321 228 B 10 1 3
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: mean 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: min 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: max 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: stddev 0 B 0.000000 0.000000 0.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: total 228 B 10 1 3
08-31 10:57:14.722 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /3/Frames/Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex, parms: {column_offset=0, full_column_count=-1, row_count=10, row_offset=0, column_count=-1}
08-31 10:57:19.923 127.0.0.1:54321 20836 0228826-11 INFO water.default: GET /3/Metadata/schemas/AutoMLV99, parms: {}
08-31 10:57:26.195 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /99/AutoMLBuilder, parms: {}
08-31 10:57:26.221 127.0.0.1:54321 20836 0228826-17 INFO water.default: Workflow: Project: AutoML_1_20220831_105726
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: Validation: Setting stopping tolerance adaptively based on the training frame: 0.05
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: Validation: Build control seed: 123
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: training frame: Frame key: AutoML_1_20220831_105726_training_Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex cols: 3 rows: 10 chunks: 1 size: 228 checksum: -2705803362319216029
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: validation frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: leaderboard frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: blending frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: response column: y
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: fold column: null
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: weights column: null
08-31 10:57:26.234 127.0.0.1:54321 20836 0228826-17 WARN water.default: Workflow: AutoML: XGBoost is not available; skipping it.
08-31 10:57:26.234 127.0.0.1:54321 20836 0228826-17 INFO water.default: Workflow: Loading execution steps: [{XGBoost : [def_2 (1g, 10w), def_1 (2g, 10w), def_3 (3g, 10w), grid_1 (4g, 90w), lr_search (6g, 30w)]}, {GLM : [def_1 (1g, 10w)]}, {DRF : [def_1 (2g, 10w), XRT (3g, 10w)]}, {GBM : [def_5 (1g, 10w), def_2 (2g, 10w), def_3 (2g, 10w), def_4 (2g, 10w), def_1 (3g, 10w), grid_1 (4g, 60w), lr_annealing (6g, 10w)]}, {DeepLearning : [def_1 (3g, 10w), grid_1 (4g, 30w), grid_2 (5g, 30w), grid_3 (5g, 30w)]}, {completion : [resume_best_grids (10g, 60w)]}, {StackedEnsemble : [best_of_family_1 (1g, 5w), best_of_family_2 (2g, 5w), best_of_family_3 (3g, 5w), best_of_family_4 (4g, 5w), best_of_family_5 (5g, 5w), all_2 (2g, 10w), all_3 (3g, 10w), all_4 (4g, 10w), all_5 (5g, 10w), monotonic (6g, 10w), best_of_family_xgboost (6g, 10w), best_of_family_gbm (6g, 10w), all_xgboost (7g, 10w), all_gbm (7g, 10w), best_of_family_xglm (8g, 10w), all_xglm (8g, 10w), best_of_family (10g, 10w), best_N (10g, 10w)]}]
08-31 10:57:26.235 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
java.lang.NullPointerException: null
at water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369) ~[h2o.jar:?]
at water.nbhm.NonBlockingHashMap.put(NonBlockingHashMap.java:320) ~[h2o.jar:?]
at ai.h2o.automl.AutoMLSession.getModelingSteps(AutoMLSession.java:76) ~[h2o.jar:?]
at ai.h2o.automl.ModelingStepsRegistry.getOrderedSteps(ModelingStepsRegistry.java:54) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.getExecutionPlan(AutoML.java:330) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.planWork(AutoML.java:359) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.submit(AutoML.java:395) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.startAutoML(AutoML.java:80) ~[h2o.jar:?]
at water.automl.api.AutoMLBuilderHandler.build(AutoMLBuilderHandler.java:15) ~[h2o.jar:?]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[?:1.8.0_341]
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) ~[?:1.8.0_341]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) ~[?:1.8.0_341]
at java.lang.reflect.Method.invoke(Unknown Source) ~[?:1.8.0_341]
at water.api.Handler.handle(Handler.java:60) ~[h2o.jar:?]
at water.api.RequestServer.serve(RequestServer.java:470) [h2o.jar:?]
at water.api.RequestServer.doGeneric(RequestServer.java:301) [h2o.jar:?]
at water.api.RequestServer.doPost(RequestServer.java:227) [h2o.jar:?]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:707) [h2o.jar:?]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:535) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1317) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1219) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132) [h2o.jar:?]
at water.webserver.jetty9.Jetty9ServerAdapter$LoginHandler.handle(Jetty9ServerAdapter.java:130) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132) [h2o.jar:?]
at org.eclipse.jetty.server.Server.handle(Server.java:531) [h2o.jar:?]
at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:352) [h2o.jar:?]
at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260) [h2o.jar:?]
at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:281) [h2o.jar:?]
at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:102) [h2o.jar:?]
at org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126) [h2o.jar:?]
at org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366) [h2o.jar:?]
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:762) [h2o.jar:?]
at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:680) [h2o.jar:?]
at java.lang.Thread.run(Unknown Source) [?:1.8.0_341]
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default: Caught exception:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default: ERROR MESSAGE:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default: Caught exception: java.lang.NullPointerException from: water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369)
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default: ; Stacktrace: [java.lang.NullPointerException, water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369), water.nbhm.NonBlockingHashMap.put(NonBlockingHashMap.java:320), ai.h2o.automl.AutoMLSession.getModelingSteps(AutoMLSession.java:76), ai.h2o.automl.ModelingStepsRegistry.getOrderedSteps(ModelingStepsRegistry.java:54), ai.h2o.automl.AutoML.getExecutionPlan(AutoML.java:330), ai.h2o.automl.AutoML.planWork(AutoML.java:359), ai.h2o.automl.AutoML.submit(AutoML.java:395), ai.h2o.automl.AutoML.startAutoML(AutoML.java:80), water.automl.api.AutoMLBuilderHandler.build(AutoMLBuilderHandler.java:15), sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method), sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source), sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source), java.lang.reflect.Method.invoke(Unknown Source), water.api.Handler.handle(Handler.java:60), water.api.RequestServer.serve(RequestServer.java:470), water.api.RequestServer.doGeneric(RequestServer.java:301), water.api.RequestServer.doPost(RequestServer.java:227), javax.servlet.http.HttpServlet.service(HttpServlet.java:707), javax.servlet.http.HttpServlet.service(HttpServlet.java:790), org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865), org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:535), org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255), org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1317), org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203), org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473), org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201), org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1219), org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144), org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126), org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132), water.webserver.jetty9.Jetty9ServerAdapter$LoginHandler.handle(Jetty9ServerAdapter.java:130), org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126), org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132), org.eclipse.jetty.server.Server.handle(Server.java:531), org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:352), org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260), org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:281), org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:102), org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126), org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366), org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:762), org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:680), java.lang.Thread.run(Unknown Source)];parms={}
08-31 10:59:11.676 127.0.0.1:54321 20836 0228826-10 INFO water.default: GET /3/Logs/nodes/self/files/info, parms: {}
08-31 10:59:11.701 127.0.0.1:54321 20836 0228826-13 INFO water.default: GET /3/Logs/nodes/127.0.0.1:54321/files/info, parms: {}
1 个解决方案
解决方案1
1 2022-08-31 08:21:16
I believe it could be caused by the small data.我相信这可能是由小数据引起的。 Try having at least 200 rows in your dataset.尝试在数据集中至少包含 200 行。 If that won't help, I'd recommend looking into h2o logs (eg h2o.download_all_logs(PATH_TO_A_DIRECTORY) ) and adding the whole stacktrace along with h2o version to this question.如果这没有帮助，我建议查看 h2o 日志（例如h2o.download_all_logs(PATH_TO_A_DIRECTORY) ）并将整个堆栈跟踪以及 h2o 版本添加到这个问题中。
声明:本站的技术帖子网页，遵循CC BY-SA 4.0协议，如果您需要转载，请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.
相关问题
H2O python rbind错误 - H2O python rbind error
H2O python split_frame引发异常 - H2O python split_frame throws exception
用Python初始化H2O - Initializing H2O in Python
GUI 中的 h2o autoML 错误和通过 python 代码 - h2o autoML Error in GUI and through python code
Flask不返回响应-邮递员“ java.lang.NullPointerException”错误 - Flask returns no response - Postman 'java.lang.NullPointerException" error
Python H2O svmlight数据 - Python h2o svmlight data
python中的子集h2o框架 - subset h2o frame in python
Python找不到模块H2O - Python cannot find module h2o
用pickle序列化h2o模型-python - Serializing a h2o model with pickle - python
在R和python中的h2o包 - h2o package in R and python
相关标签