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From the log:

python(5787,0x70000fcc5000) malloc: *** error for object 0x7ff8fe7317e0: incorrect checksum for freed object - object was probably modified after being freed.

[2018/01/24-14:07:02.303] [Exec-158] [INFO] [dku.utils]  - *** set a breakpoint in malloc_error_break to debug

[2018/01/24-14:07:02.304] [Kernel-159-monitor-159] [INFO] [dku.kernels]  - Process done with code 134

[2018/01/24-14:07:02.408] [MRT-153] [ERROR] [dku.analysis.prediction]  - Processing failed

com.dataiku.dip.exceptions.ProcessDiedException: ML process died (exit code: 134)

at com.dataiku.dip.exceptions.ProcessDiedException.getExceptionOnProcessDeath(ProcessDiedException.java:46)

at com.dataiku.dip.kernels.DSSKernelBase.getExceptionOnProcessDeath(DSSKernelBase.java:129)

at com.dataiku.dip.analysis.coreservices.AnalysisMLKernel.executeCommand(AnalysisMLKernel.java:105)

at com.dataiku.dip.analysis.ml.prediction.PyRegularNoSavePredictionHandler$TrainAdditionalThread.process(PyRegularNoSavePredictionHandler.java:118)

at com.dataiku.dip.analysis.ml.shared.PRNSTrainThread.run(PRNSTrainThread.java:66)




Is this a caching issue?

edited by

1 Answer

0 votes

This looks like a memory corrumption bug in one of the underlying numerical computation libraries (numpy, pandas, blas,....). Is it reproducible ? Reproducible with other algorithms on this dataset ? Could you share details about your setup ? Are you at a liberty to share this dataset ?
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