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Hello,
I attempted to execute a partitioned XGBoost model using a Python 3.8 coding environment. The log files containing the details are enclosed in the attached .txt file. and also the train diagnosis in a zip file.
Could you assist me in comprehending the underlying cause and suggest potential solutions to address this issue?
the model however train perfectly using the built in code env.
this is really urgent for me.
Thank you! Omar.
Operating system used: centos (7)
Hi @omarh2m,
In case anyone encounters this in the future, I'm copying my response here as well:
[2024/04/05-15:52:43.128] [MRT-110744] [WARN] [dku.analysis.ml.python] - Training failed
com.dataiku.dip.exceptions.CodedIOException: No recorded image tag for env PYTHON PYTHON38 version= null. Maybe you need to build Docker image
at com.dataiku.dip.containers.exec.ContainerExecImagesHelper.getImageVersionToUse(ContainerExecImagesHelper.java:77)
at com.dataiku.dip.containers.exec.ContainerExecImagesHelper.getImageTagToUse(ContainerExecImagesHelper.java:89)
at com.dataiku.dip.analysis.coreservices.AnalysisMLContainerKernel.start(AnalysisMLContainerKernel.java:171)
at com.dataiku.dip.analysis.ml.shared.PRNSTrainThread.run(PRNSTrainThread.java:164)
โ