How To Fix RSANA_UMM_API033 - Error occurred while training model version


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSANA_UMM_API - UMM API Messages

  • Message number: 033

  • Message text: Error occurred while training model version

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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 RSANA_UMM_API033 - Error occurred while training model version ?

    The SAP error message RSANA_UMM_API033 typically indicates that there was an issue while trying to train a model version in the SAP Analytics Cloud (SAC) or SAP BW/4HANA environment. This error can arise due to various reasons, and understanding the cause is crucial for finding an appropriate solution.

    Possible Causes:

    1. Data Quality Issues: The data being used for training the model may have inconsistencies, missing values, or incorrect formats.
    2. Configuration Errors: There may be misconfigurations in the model settings or parameters that are preventing the training process from completing successfully.
    3. Resource Limitations: Insufficient system resources (like memory or processing power) can lead to failures during model training.
    4. Version Compatibility: The version of the model or the underlying software may not be compatible with the data or the training algorithms being used.
    5. Network Issues: If the training process requires data from external sources, network connectivity issues can interrupt the training.

    Solutions:

    1. Check Data Quality: Review the dataset for any anomalies, such as missing values or incorrect data types. Clean and preprocess the data as necessary.
    2. Review Model Configuration: Ensure that all settings and parameters for the model are correctly configured. This includes checking the input data structure and any hyperparameters.
    3. Monitor System Resources: Check the system's resource usage during the training process. If resources are low, consider optimizing the model or upgrading the system.
    4. Update Software: Ensure that you are using the latest version of SAP Analytics Cloud or SAP BW/4HANA. Check for any patches or updates that may address known issues.
    5. Check Logs: Review the logs for more detailed error messages that can provide insights into what went wrong during the training process.
    6. Retry Training: Sometimes, simply retrying the training process can resolve transient issues.

    Related Information:

    • SAP Notes and Documentation: Check SAP's official documentation and support notes for any specific guidance related to the RSANA_UMM_API033 error.
    • Community Forums: Engage with the SAP Community or forums where other users may have encountered similar issues and can share their solutions.
    • SAP Support: If the issue persists, consider reaching out to SAP Support for assistance, providing them with detailed information about the error and the context in which it occurred.

    By systematically addressing these potential causes and applying the suggested solutions, you should be able to resolve the RSANA_UMM_API033 error and successfully train your model version.

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