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{noformat} [2021-09-01T18:06:12.012Z] > prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
[2021-09-01T18:06:12.012Z] > prostate <- h2o.importFile(path = prostate_path, header = TRUE)
[2021-09-01T18:06:12.012Z]
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] | | 0%
[2021-09-01T18:06:12.012Z] |======================================================================| 100%
[2021-09-01T18:06:12.012Z] > y <- "CAPSULE"
[2021-09-01T18:06:12.012Z] > prostate[,y] <- as.factor(prostate[,y]) #convert to factor for classification
[2021-09-01T18:06:12.012Z] > aml <- h2o.automl(y = y, training_frame = prostate, max_runtime_secs = 30)
[2021-09-01T18:06:12.012Z] |=== | 5%
[2021-09-01T18:06:12.012Z] |====== | 9%
[2021-09-01T18:06:12.012Z] |========= | 13%
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[2021-09-01T18:06:12.012Z] |=============== | 21%
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[2021-09-01T18:06:12.013Z] |================== | 26%
[2021-09-01T18:06:12.013Z] |===================== | 30%
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[2021-09-01T18:06:12.013Z]
[2021-09-01T18:06:12.013Z] java.lang.NullPointerException
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.getMetricFromModelMetric(ModelMetrics.java:151)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.getMetricFromModel(ModelMetrics.java:127)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics$MetricsComparator.compare(ModelMetrics.java:196)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics$MetricsComparator.compare(ModelMetrics.java:186)
[2021-09-01T18:06:12.013Z] at java.util.TimSort.binarySort(TimSort.java:296)
[2021-09-01T18:06:12.013Z] at java.util.TimSort.sort(TimSort.java:239)
[2021-09-01T18:06:12.013Z] at java.util.Arrays.sort(Arrays.java:1512)
[2021-09-01T18:06:12.013Z] at java.util.ArrayList.sort(ArrayList.java:1462)
[2021-09-01T18:06:12.013Z] at java.util.Collections.sort(Collections.java:175)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.sortModelsByMetric(ModelMetrics.java:305)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.sortModelKeys(Leaderboard.java:540)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.updateModels(Leaderboard.java:418)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.lambda$addModels$0(Leaderboard.java:381)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.atomicUpdate(Leaderboard.java:442)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.leaderboard.Leaderboard.addModels(Leaderboard.java:378)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.leaderboard.Leaderboard.addModel(Leaderboard.java:459)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.addModel(ModelingStepsExecutor.java:192)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.monitor(ModelingStepsExecutor.java:169)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.submit(ModelingStepsExecutor.java:82)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.AutoML.learn(AutoML.java:619)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.AutoML.run(AutoML.java:419)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.H2OJob$1.compute2(H2OJob.java:33)
[2021-09-01T18:06:12.014Z] at water.H2O$H2OCountedCompleter.compute(H2O.java:1644)
[2021-09-01T18:06:12.014Z] at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477) {noformat}
The text was updated successfully, but these errors were encountered:
JIRA Issue Details
Jira Issue: PUBDEV-8314 Assignee: Sebastien Poirier Reporter: Sebastien Poirier State: Resolved Fix Version: 3.34.0.1 Attachments: N/A Development PRs: Available
Sorry, something went wrong.
Linked PRs from JIRA
#5666
No branches or pull requests
{noformat}
[2021-09-01T18:06:12.012Z] > prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
[2021-09-01T18:06:12.012Z] > prostate <- h2o.importFile(path = prostate_path, header = TRUE)
[2021-09-01T18:06:12.012Z]
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] | | 0%
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] |======================================================================| 100%
[2021-09-01T18:06:12.012Z] > y <- "CAPSULE"
[2021-09-01T18:06:12.012Z] > prostate[,y] <- as.factor(prostate[,y]) #convert to factor for classification
[2021-09-01T18:06:12.012Z] > aml <- h2o.automl(y = y, training_frame = prostate, max_runtime_secs = 30)
[2021-09-01T18:06:12.012Z]
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] | | 0%
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] |=== | 5%
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] |====== | 9%
[2021-09-01T18:06:12.012Z] |
[2021-09-01T18:06:12.012Z] |========= | 13%
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[2021-09-01T18:06:12.012Z] |============ | 17%
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[2021-09-01T18:06:12.012Z] |=============== | 21%
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[2021-09-01T18:06:12.013Z] |================== | 26%
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[2021-09-01T18:06:12.013Z] |===================== | 30%
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[2021-09-01T18:06:12.013Z] |======================== | 34%
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[2021-09-01T18:06:12.013Z] |=========================== | 38%
[2021-09-01T18:06:12.013Z] |
[2021-09-01T18:06:12.013Z] |============================= | 42%
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[2021-09-01T18:06:12.013Z] |================================ | 46%
[2021-09-01T18:06:12.013Z] |
[2021-09-01T18:06:12.013Z] |=================================== | 50%
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[2021-09-01T18:06:12.013Z] |====================================== | 54%
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[2021-09-01T18:06:12.013Z] |========================================== | 59%
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[2021-09-01T18:06:12.013Z] |============================================ | 63%
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[2021-09-01T18:06:12.013Z] |======================================================== | 81%
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[2021-09-01T18:06:12.013Z] |========================================================= | 81%
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[2021-09-01T18:06:12.013Z] |============================================================= | 86%
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[2021-09-01T18:06:12.013Z] |============================================================== | 88%
[2021-09-01T18:06:12.013Z] |
[2021-09-01T18:06:12.013Z] |================================================================= | 93%
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[2021-09-01T18:06:12.013Z] |==================================================================== | 97%
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[2021-09-01T18:06:12.013Z] |======================================================================| 100%
[2021-09-01T18:06:12.013Z]
[2021-09-01T18:06:12.013Z] java.lang.NullPointerException
[2021-09-01T18:06:12.013Z]
[2021-09-01T18:06:12.013Z] java.lang.NullPointerException
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.getMetricFromModelMetric(ModelMetrics.java:151)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.getMetricFromModel(ModelMetrics.java:127)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics$MetricsComparator.compare(ModelMetrics.java:196)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics$MetricsComparator.compare(ModelMetrics.java:186)
[2021-09-01T18:06:12.013Z] at java.util.TimSort.binarySort(TimSort.java:296)
[2021-09-01T18:06:12.013Z] at java.util.TimSort.sort(TimSort.java:239)
[2021-09-01T18:06:12.013Z] at java.util.Arrays.sort(Arrays.java:1512)
[2021-09-01T18:06:12.013Z] at java.util.ArrayList.sort(ArrayList.java:1462)
[2021-09-01T18:06:12.013Z] at java.util.Collections.sort(Collections.java:175)
[2021-09-01T18:06:12.013Z] at hex.ModelMetrics.sortModelsByMetric(ModelMetrics.java:305)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.sortModelKeys(Leaderboard.java:540)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.updateModels(Leaderboard.java:418)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.lambda$addModels$0(Leaderboard.java:381)
[2021-09-01T18:06:12.013Z] at ai.h2o.automl.leaderboard.Leaderboard.atomicUpdate(Leaderboard.java:442)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.leaderboard.Leaderboard.addModels(Leaderboard.java:378)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.leaderboard.Leaderboard.addModel(Leaderboard.java:459)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.addModel(ModelingStepsExecutor.java:192)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.monitor(ModelingStepsExecutor.java:169)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.ModelingStepsExecutor.submit(ModelingStepsExecutor.java:82)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.AutoML.learn(AutoML.java:619)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.AutoML.run(AutoML.java:419)
[2021-09-01T18:06:12.014Z] at ai.h2o.automl.H2OJob$1.compute2(H2OJob.java:33)
[2021-09-01T18:06:12.014Z] at water.H2O$H2OCountedCompleter.compute(H2O.java:1644)
[2021-09-01T18:06:12.014Z] at jsr166y.CountedCompleter.exec(CountedCompleter.java:468)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinTask.doExec(ForkJoinTask.java:263)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:974)
[2021-09-01T18:06:12.014Z] at jsr166y.ForkJoinPool.runWorker(ForkJoinPool.java:1477)
{noformat}
The text was updated successfully, but these errors were encountered: