How To Fix ISLM_API867 - Failed to retrieve inference result.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: ISLM_API - API Messages

  • Message number: 867

  • Message text: Failed to retrieve inference result.

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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 ISLM_API867 - Failed to retrieve inference result. ?

    The SAP error message ISLM_API867, which indicates a failure to retrieve inference results, typically arises in the context of SAP's Integrated Business Planning (IBP) or other applications that utilize machine learning or predictive analytics features. Here are some potential causes, solutions, and related information for this error:

    Causes:

    1. Data Issues: The input data required for the inference might be missing, incomplete, or incorrectly formatted.
    2. Model Issues: The machine learning model may not be properly trained, or there could be issues with the model deployment.
    3. Service Availability: The inference service might be down or experiencing connectivity issues.
    4. Authorization Issues: The user may not have the necessary permissions to access the inference results.
    5. Configuration Errors: There may be misconfigurations in the settings related to the inference service or the model.

    Solutions:

    1. Check Input Data: Ensure that all required input data is available, complete, and correctly formatted. Validate the data against the expected schema.
    2. Model Validation: Verify that the machine learning model is correctly trained and deployed. Check for any errors in the model training process.
    3. Service Status: Check the status of the inference service. If it is down, contact your system administrator or SAP support to resolve the issue.
    4. User Permissions: Ensure that the user has the necessary permissions to access the inference results. Review and update user roles and authorizations as needed.
    5. Configuration Review: Review the configuration settings for the inference service and the model. Ensure that all parameters are set correctly.
    6. Logs and Monitoring: Check system logs for any additional error messages or warnings that could provide more context about the failure. Use monitoring tools to track the performance of the inference service.

    Related Information:

    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address this specific error or provide additional troubleshooting steps.
    • Documentation: Review the official SAP documentation for the specific application you are using (e.g., IBP, SAP Analytics Cloud) to understand the requirements and configurations for inference services.
    • Community Forums: Engage with the SAP Community or other forums where users discuss similar issues. You may find solutions or workarounds shared by other users.

    If the issue persists after trying the above solutions, it may be necessary to contact SAP Support for further assistance, providing them with detailed information about the error and the context in which it occurred.

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