How To Fix RSDME815 - Data mining model &1 is not trained; no reset required

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 815

• Message text: Data mining model &1 is not trained; no reset required

Self-Explanatory Message

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.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME815 - Data mining model &1 is not trained; no reset required ?

  The SAP error message RSDME815 indicates that a data mining model has not been trained yet, and therefore, no reset is required. This message typically arises in the context of SAP BW (Business Warehouse) or SAP HANA when working with data mining models in the SAP Predictive Analytics or SAP BW/4HANA environments.
  Cause:
  
  Model Not Trained: The primary cause of this error is that the data mining model has been created but has not undergone the training process. Without training, the model cannot make predictions or perform analyses.
  Incorrect Model State: The model may be in a state where it is expected to be trained, but the training process has not been executed successfully.
  Data Issues: There may be issues with the data that prevent the model from being trained, such as missing data, incorrect data types, or insufficient data volume.
  
  Solution:
  
  
  Train the Model: The most straightforward solution is to train the data mining model. This can typically be done through the SAP GUI or the relevant SAP application interface. Ensure that you have the necessary data and configurations set up for the training process.
  
  Navigate to the data mining model in the SAP interface.
  Select the option to train the model.
  Monitor the training process for any errors or warnings.
  
  
  
  Check Data Quality: Ensure that the data being used for training is complete and of high quality. Look for:
  
  Missing values
  Incorrect data types
  Sufficient volume of data for training
  
  
  
  Review Model Configuration: Verify that the model is configured correctly. This includes checking parameters, algorithms, and any other settings that may affect the training process.
  
  
  Consult Documentation: Refer to the SAP documentation for specific instructions on training data mining models, as the steps may vary depending on the version of SAP you are using.
  
  
  Error Logs: If the training process fails, check the error logs for more detailed information about what went wrong. This can provide insights into any underlying issues that need to be addressed.
  
  
  Related Information:
  
  SAP Predictive Analytics: This is a tool that allows users to create predictive models using data mining techniques. Understanding how to use this tool effectively can help in resolving issues related to model training.
  SAP BW/4HANA: If you are using SAP BW/4HANA, familiarize yourself with the data modeling and mining capabilities specific to this platform.
  SAP Community and Support: If you continue to face issues, consider reaching out to the SAP Community or SAP Support for assistance. They can provide guidance based on your specific scenario and version of SAP.
  
  By following these steps, you should be able to resolve the RSDME815 error and successfully train your data mining model.