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Message type: E = Error
Message class: FKK_ML_SRV - FI-CA Machine Learning (ML)
Message number: 110
Message text: The model trained is no longer current for company code &1.
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FKK_ML_SRV110
- The model trained is no longer current for company code &1. ?The SAP error message FKK_ML_SRV110 indicates that the model trained for the specific company code is no longer current. This typically occurs in the context of SAP Convergent Charging or SAP Convergent Invoicing, where machine learning models are used for various predictive analytics and decision-making processes.
Cause:
- Model Obsolescence: The machine learning model may have been trained on outdated data or parameters that no longer reflect the current business environment or data patterns.
- Data Changes: Significant changes in the underlying data, such as new business processes, changes in customer behavior, or updates in the configuration, can render the existing model ineffective.
- Versioning Issues: The model may not have been updated or retrained after a system upgrade or changes in the configuration of the company code.
Solution:
- Retrain the Model: The primary solution is to retrain the machine learning model with the latest data. This can often be done through the SAP interface where the model is managed.
- Check Configuration: Ensure that the configuration settings for the machine learning model are correct and up to date. This includes checking the parameters and data sources used for training.
- Review Data Quality: Assess the quality of the data being used for training. Ensure that it is clean, relevant, and representative of the current business scenario.
- Consult Documentation: Refer to SAP documentation or notes related to the specific version of the software you are using. There may be specific instructions or patches available.
- Contact SAP Support: If the issue persists, consider reaching out to SAP support for assistance. They may provide insights or solutions specific to your version and configuration.
Related Information:
By following these steps, you should be able to address the error message and ensure that your machine learning model is current and effective for your company's needs.
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