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How To Fix THM_CENTRAL706 - Slice type is mandatory for linear regression


SAP Error Message - Details

  • Message type: E = Error

  • Message class: THM_CENTRAL - Central messages for E-HA

  • Message number: 706

  • Message text: Slice type is mandatory for linear regression

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Smart SAP Assistant

  • What is the cause and solution for SAP error message THM_CENTRAL706 - Slice type is mandatory for linear regression ?

    The SAP error message "THM_CENTRAL706 Slice type is mandatory for linear regression" typically occurs in the context of SAP's predictive analytics or time series forecasting functionalities, particularly when using linear regression models. This error indicates that a required parameter, specifically the "slice type," has not been specified in the configuration of the linear regression model.

    Cause:

    The error arises when the system expects a "slice type" to be defined for the linear regression model, but it has not been provided. The "slice type" is essential for determining how the data is segmented or divided for analysis, which is crucial for the model to function correctly.

    Solution:

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

    1. Check Model Configuration:

      • Go to the configuration settings of the linear regression model you are trying to run.
      • Ensure that the "slice type" parameter is specified. This could be a specific time period, category, or any other relevant segmentation that the model requires.
    2. Define Slice Type:

      • If you are unsure what slice types are available, refer to the documentation or help resources within SAP for guidance on the appropriate slice types for your specific use case.
      • Common slice types might include options like "daily," "weekly," "monthly," or other relevant categorizations based on your data.
    3. Validate Data:

      • Ensure that the data you are using for the linear regression model is correctly formatted and contains the necessary fields that correspond to the defined slice type.
    4. Consult Documentation:

      • Review the SAP documentation related to the predictive analytics or linear regression functionalities to understand the requirements and best practices for setting up your model.
    5. Seek Support:

      • If you continue to experience issues after checking the configuration, consider reaching out to your SAP support team or consulting the SAP community forums for additional assistance.

    Related Information:

    • SAP Predictive Analytics: This is a suite of tools that allows users to create predictive models using various algorithms, including linear regression.
    • Linear Regression: A statistical method used to model the relationship between a dependent variable and one or more independent variables.
    • Slice Types: These are parameters that define how data is segmented for analysis, which can significantly impact the performance and accuracy of predictive models.

    By ensuring that the slice type is correctly defined and configured, you should be able to resolve the error and successfully run your linear regression model in SAP.

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