Predictive intelligence clustering is throwing error while training in PDI?
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05-09-2023 05:17 AM - edited 05-09-2023 05:20 AM
Hi all,
when I am trying to train the OOB std change template candidates clustering definition , first the training state is in Unauthorized and after sometimes it's throwing error Training cancelled and Training timeout why this is happening in my PDI. Training is not getting success.
What is the user of this OOB cluster std change template candidates for Standard Change Predictive Intelligence for Change
We can able train the cluster in PDI?
can anyone help me this
Thanks
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02-29-2024 06:33 AM
My guess is they won't support it since it would take a good amount of resources for a PDI
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yesterday
@Lener Pacania1
I tried in the Sub-Prod itself
But i am getting connectivity issue: Network Configuration Error when training the predictive intelligence, solution (Classification) model.
Completed the following troubleshooting steps:
System Properties: Manually verified and created glide.platform_ml.api.enabled (true) and glide.shared_service_scheduler.url (sncmlscheduler.service-now.com).
Authentication: Validated the sharedservice.worker system user. It is active with all required ML roles. We have also reset the password to ensure no sync issues exist after our last clone.
Data Scoping: Added filters to the Solution Definition to limit the training set, ruling out large-payload timeouts.
Logs: Node logs indicate a failure during the outbound handshake to the ML training cluster.
Request:
Since this instance is on an ITSM Standard license, we suspect the instance UUID may not be whitelisted on the ServiceNow ML Training Infrastructure.
Can you suggest me if i am missing something
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01-30-2024 02:17 PM
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yesterday
PDIs are not authorized to use Predictive Intelligence. Instances must be registered with the ML Scheduler before submitting ML training jobs.
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yesterday
Implementing the Predictive Intelligence in the Sub-Prod environment
Is similar too PDIs which we use personally.
What will be the next steps? from here we need to register it and then after registering the functionality works.
