How To Fix RSANA_UMM_API541 - Target name length can't exceed 27 for regression, 12 for classification.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSANA_UMM_API - UMM API Messages

  • Message number: 541

  • Message text: Target name length can't exceed 27 for regression, 12 for classification.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSANA_UMM_API541 - Target name length can't exceed 27 for regression, 12 for classification. ?

    The SAP error message RSANA_UMM_API541 indicates that there is a restriction on the length of the target name used in the context of regression and classification tasks within the SAP Analytics Cloud or SAP BW/4HANA environments. Specifically, the error states that:

    • For regression tasks, the target name cannot exceed 27 characters.
    • For classification tasks, the target name cannot exceed 12 characters.

    Cause

    This error typically occurs when you attempt to create or execute a predictive model (like a regression or classification model) and the target variable (the variable you are trying to predict) has a name that exceeds the allowed character limit. This can happen if:

    • The target variable is named too long in your dataset.
    • You are using a naming convention that results in longer names than allowed.

    Solution

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

    1. Rename the Target Variable:

      • If you have control over the dataset, rename the target variable to ensure it adheres to the character limits:
        • For regression, ensure the name is 27 characters or fewer.
        • For classification, ensure the name is 12 characters or fewer.
    2. Check Data Preparation Steps:

      • Review any data preparation or transformation steps to ensure that the target variable is not being inadvertently renamed to a longer name.
    3. Use Aliases:

      • If you are using a data source that allows for aliases, consider creating an alias for the target variable that meets the character limit requirements.
    4. Documentation and Naming Conventions:

      • Refer to the SAP documentation for best practices on naming conventions for predictive modeling. This can help avoid similar issues in the future.
    5. Testing:

      • After renaming the target variable, re-run your predictive model to ensure that the error is resolved.

    Related Information

    • SAP Documentation: Always refer to the official SAP documentation for the specific version you are using, as there may be updates or additional guidelines regarding naming conventions and limitations.
    • Community Forums: If you continue to experience issues, consider reaching out to SAP community forums or support for additional assistance.
    • Predictive Analytics: Familiarize yourself with the concepts of predictive analytics in SAP, including how to properly set up and configure models, as this can help prevent similar errors in the future.

    By following these steps, you should be able to resolve the RSANA_UMM_API541 error and successfully execute your predictive modeling tasks.

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