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Message type: E = Error
Message class: RS_DME_SC - Messages for Scoring
Message number: 011
Message text: Model &1 cannot be used for predictions
The scoring model that you want to use in the prediction has not been
fully trained. This might be due to the model having been subsequently
changed.
Processing has been terminated.
In the modeling environment, assign a training data source to the model
and train the model using this data.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
RS_DME_SC011
- Model &1 cannot be used for predictions ?The SAP error message RS_DME_SC011, which states "Model &1 cannot be used for predictions," typically occurs in the context of SAP's Data Mining and Predictive Analytics functionalities. This error indicates that the specified model (denoted by &1) is not in a state that allows it to be used for making predictions. Here are some common causes, solutions, and related information for this error:
Causes:
- Model Status: The model may not be in an active or valid state. It could be inactive, not trained, or not properly saved.
- Model Type: The model type may not support prediction. For example, some models are designed for classification, while others are for regression.
- Data Issues: The input data for predictions may not match the expected format or structure that the model requires.
- Authorization Issues: The user may not have the necessary authorizations to execute predictions with the specified model.
- Versioning: The model may have been updated or changed, and the current version is not compatible with the prediction request.
Solutions:
- Check Model Status: Verify the status of the model in the SAP system. Ensure that it is active and properly trained. You can do this by navigating to the relevant Data Mining Workbench or Model Management area.
- Re-train the Model: If the model is not trained or has been modified, re-train it to ensure it is ready for predictions.
- Validate Input Data: Ensure that the input data for the prediction matches the expected structure and format. Check for missing values or incorrect data types.
- Review Authorizations: Check the user authorizations to ensure that the user has the necessary permissions to execute predictions with the model.
- Check Model Compatibility: If the model has been updated, ensure that the prediction request is compatible with the current version of the model.
Related Information:
RS_DME
for Data Mining and RS_DME_MDL
for model management to navigate the system effectively.If the issue persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.
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