How To Fix ML_CAI_MESSAGE009 - The service is not available. The model is still in the training process.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: ML_CAI_MESSAGE -

  • Message number: 009

  • Message text: The service is not available. The model is still in the training process.

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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 ML_CAI_MESSAGE009 - The service is not available. The model is still in the training process. ?

    The SAP error message ML_CAI_MESSAGE009 indicates that a machine learning model is still in the training process and is not yet available for use. This error typically occurs when you attempt to access or utilize a model that has not completed its training phase.

    Cause:

    1. Model Training in Progress: The primary cause of this error is that the model you are trying to use is still being trained. The training process can take time depending on the complexity of the model, the amount of data, and the computational resources available.
    2. Model Deployment Issues: There may be issues related to the deployment of the model, such as configuration errors or resource allocation problems.
    3. System Performance: If the system is under heavy load or if there are resource constraints, the training process may take longer than expected.

    Solution:

    1. Wait for Training to Complete: The simplest solution is to wait until the training process is complete. You can monitor the status of the model training in the SAP system.
    2. Check Training Status: Use the relevant transaction codes or tools in SAP to check the status of the model training. This can help you determine how much longer the training might take.
    3. Review Logs: Check the logs for any errors or warnings that might indicate why the training is taking longer than expected. This can provide insights into any underlying issues.
    4. Resource Allocation: Ensure that the system has adequate resources (CPU, memory, etc.) allocated for the training process. If necessary, consider optimizing the environment or scaling resources.
    5. Configuration Review: Review the configuration settings for the model training process to ensure that everything is set up correctly.

    Related Information:

    • SAP Documentation: Refer to the official SAP documentation for machine learning and model management for more detailed information on model training and deployment.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
    • SAP Support: If the issue persists and you cannot resolve it, consider reaching out to SAP Support for assistance.

    By following these steps, you should be able to address the error and successfully utilize the machine learning model once it has completed its training process.

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