How To Fix RSDME955 - No prediction fields found


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDME -

  • Message number: 955

  • Message text: No prediction fields found

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  • Self-Explanatory Message

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  • What is the cause and solution for SAP error message RSDME955 - No prediction fields found ?

    The SAP error message RSDME955 "No prediction fields found" typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with predictive analytics or data mining functionalities. This error indicates that the system could not find any fields that can be used for making predictions in the specified data model or InfoProvider.

    Causes:

    1. Missing Prediction Fields: The data model or InfoProvider does not have any fields defined as prediction fields. This could be due to incorrect configuration or missing data.
    2. Incorrect Data Source: The data source being used for the predictive model may not be correctly set up or may not contain the necessary fields.
    3. Field Type Issues: The fields that are supposed to be used for predictions may not be of the correct data type (e.g., numeric fields for regression).
    4. Model Configuration: The predictive model may not be properly configured to recognize the fields that should be used for predictions.
    5. Data Quality Issues: There may be issues with the data quality, such as null values or incorrect data types, which prevent the system from identifying prediction fields.

    Solutions:

    1. Check Data Model Configuration: Ensure that the data model or InfoProvider is correctly configured and that the necessary fields are marked as prediction fields.
    2. Verify Data Source: Make sure that the data source being used contains the required fields and that they are correctly mapped in the predictive model.
    3. Field Type Validation: Check the data types of the fields in the data model. Ensure that they are appropriate for the type of prediction you are trying to perform (e.g., numeric for regression).
    4. Review Model Settings: Go through the settings of the predictive model to ensure that it is set up to recognize the fields you want to use for predictions.
    5. Data Quality Checks: Perform data quality checks to ensure that there are no null values or incorrect data types in the fields that are supposed to be used for predictions.
    6. Consult Documentation: Refer to SAP documentation or help resources for specific guidance on setting up predictive models and identifying prediction fields.

    Related Information:

    • SAP BW/4HANA: If you are using SAP BW/4HANA, ensure that you are familiar with the specific features and limitations of predictive analytics in that environment.
    • SAP Predictive Analytics: Familiarize yourself with the SAP Predictive Analytics tool, which provides functionalities for building and deploying predictive models.
    • SAP Community: Engage with the SAP Community forums for insights and solutions from other users who may have encountered similar issues.

    If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance.

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