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Message type: E = Error
Message class: /ISDFPS/NOTIFICATION -
Message number: 002
Message text: No new training data exists
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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/ISDFPS/NOTIFICATION002
- No new training data exists ?The SAP error message
/ISDFPS/NOTIFICATION002 No new training data exists
typically occurs in the context of SAP's Data Intelligence or similar systems where machine learning models are being trained. This message indicates that the system is unable to find any new training data to process for the model training.Causes:
- No New Data Available: The most common cause is that there is simply no new data available in the specified data source since the last training run.
- Data Source Configuration: The data source may not be correctly configured, leading to the system not being able to access the new data.
- Data Filtering: There may be filters applied that exclude all available data, resulting in no new data being identified for training.
- Data Loading Issues: There could be issues with the data loading process, such as connectivity problems or data extraction errors.
- Model Configuration: The model may be configured in such a way that it does not recognize the available data as suitable for training.
Solutions:
- Check Data Availability: Verify that new data has been added to the data source since the last training run. If not, you may need to wait until new data is available.
- Review Data Source Configuration: Ensure that the data source is correctly configured and accessible. Check connection settings and permissions.
- Adjust Filters: If there are filters applied to the data selection, review and adjust them to ensure that they are not excluding all available data.
- Data Loading Verification: Check the data loading process for any errors or issues. Ensure that data is being extracted and loaded correctly.
- Model Settings: Review the model configuration to ensure it is set up to recognize and utilize the available data for training.
- Logs and Monitoring: Check system logs for any additional error messages or warnings that could provide more context about the issue.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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