How To Fix ESH_OM_PC043 - Classification model has to be complete


SAP Error Message - Details

  • Message type: E = Error

  • Message class: ESH_OM_PC - Plausibility Check

  • Message number: 043

  • Message text: Classification model has to be complete

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  • 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.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message ESH_OM_PC043 - Classification model has to be complete ?

    The SAP error message ESH_OM_PC043 indicates that a classification model is incomplete. This error typically arises in the context of SAP's Enterprise Search or SAP HANA, where classification models are used for various purposes, including data categorization and search optimization.

    Cause:

    The error occurs when:

    1. The classification model has not been fully defined or configured.
    2. Required attributes or parameters for the classification model are missing.
    3. The model has not been trained or lacks sufficient data for classification.
    4. There may be inconsistencies or errors in the underlying data that the model is supposed to classify.

    Solution:

    To resolve the error, you can take the following steps:

    1. Check Model Configuration:

      • Ensure that all required fields and parameters for the classification model are filled out correctly.
      • Verify that the model is properly defined in the system.
    2. Complete the Model:

      • If the model is incomplete, complete the necessary configurations. This may involve adding missing attributes or ensuring that all necessary settings are in place.
    3. Train the Model:

      • If the model has not been trained, initiate the training process. Ensure that you have sufficient and relevant data for training the model.
    4. Validate Data:

      • Check the data that the model is supposed to classify. Ensure that it is clean, consistent, and meets the requirements for the classification process.
    5. Review Documentation:

      • Consult the SAP documentation or help resources related to the specific classification model you are using. This can provide insights into required configurations and common pitfalls.
    6. System Logs:

      • Check system logs for any additional error messages or warnings that might provide more context about the issue.
    7. Consult SAP Support:

      • If the issue persists after following the above steps, consider reaching out to SAP support for further assistance. They can provide more specific guidance based on your system configuration and version.

    Related Information:

    • SAP Notes: Look for relevant SAP Notes that might address this specific error or provide patches and updates.
    • SAP Community: Engage with the SAP Community forums where other users may have encountered similar issues and can share their solutions.
    • Training and Documentation: Familiarize yourself with SAP's training materials and documentation on classification models and enterprise search to better understand their setup and maintenance.

    By following these steps, you should be able to address the ESH_OM_PC043 error and ensure that your classification model is complete and functional.

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