How To Fix WGDS_PROCESS751 - Model &1 version &2 is not ready for inferencing

SAP Error Message - Details

• Message type: E = Error

• Message class: WGDS_PROCESS - Global data synchronisation

• Message number: 751

• Message text: Model &1 version &2 is not ready for inferencing

What causes this issue?

The model status needs to be set to 'A' or 'P' to run inferencing. Once
the model has completed training, the status must be manually changed to
'A' (Active) or 'P' (Prototype).

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message WGDS_PROCESS751 - Model &1 version &2 is not ready for inferencing ?

  The SAP error message:
  WGDS_PROCESS751 Model &1 version &2 is not ready for inferencing
  typically occurs in the context of SAP's machine learning or predictive services, particularly when working with SAP AI Core, SAP AI Foundation, or SAP Data Intelligence where models are deployed and used for inferencing (prediction).
  
  Cause
  This error indicates that the specified model (identified by name &1 and version &2) is not in a state that allows it to be used for inferencing. Possible reasons include:
  
  The model has not been fully trained or the training process has not completed successfully.
  The model deployment is incomplete or failed.
  The model version is not activated or published for inferencing.
  The model metadata or artifacts are missing or corrupted.
  The model is in a draft or inactive state.
  There is a mismatch between the model version requested and the versions available in the system.
  
  
  Solution
  To resolve this error, you should:
  
  
  Check Model Status:
  
  Verify the status of the model and its version in the SAP AI Core or the relevant model management system.
  Ensure the model version &2 is in a "ready", "active", or "deployed" state.
  
  
  
  Complete Training and Deployment:
  
  If the model training is incomplete, rerun or complete the training process.
  If deployment failed, redeploy the model version.
  
  
  
  Publish/Activate Model Version:
  
  Some systems require explicit activation or publishing of a model version before it can be used for inferencing.
  Activate or publish the model version if it is in draft or inactive state.
  
  
  
  Check Model Artifacts:
  
  Ensure that all necessary model files and metadata are correctly stored and accessible.
  Re-upload or fix corrupted model artifacts if necessary.
  
  
  
  Verify Model Version:
  
  Confirm that the version number &2 exists and matches the intended model version.
  If the version does not exist, use a valid version number.
  
  
  
  Check Logs and System Messages:
  
  Review system logs or error messages for more detailed information about why the model is not ready.
  Address any underlying issues indicated by the logs.
  
  
  
  
  Related Information
  
  SAP AI Core / AI Foundation Documentation: Check SAP Help Portal for detailed instructions on model lifecycle management, deployment, and inferencing.
  Model Lifecycle Management: Understanding the states of a model (e.g., draft, trained, deployed, active) is crucial.
  SAP Data Intelligence: If using SAP Data Intelligence, ensure the model is properly registered and deployed in the system.
  SAP Notes and Support: Search SAP Support Portal for notes related to WGDS_PROCESS751 or model inferencing issues.
  Common Commands/Tools:
  
  Use SAP AI Core CLI or UI to check model status.
  Use SAP Data Intelligence Model Management tools.
  
  
  
  
  If you provide the exact SAP product and context (e.g., SAP AI Core, SAP Data Intelligence, SAP Predictive Analytics), I can give more tailored instructions.