How To Fix FVD_ML063 - Training data conversion failed


SAP Error Message - Details

  • Message type: E = Error

  • Message class: FVD_ML - Machine Learning

  • Message number: 063

  • Message text: Training data conversion failed

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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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message FVD_ML063 - Training data conversion failed ?

    The SAP error message FVD_ML063 indicates that there was a failure during the training data conversion process in the context of the SAP Financial Services (FS) module, particularly related to the Financial Services Data Management (FVD) component. This error typically arises when the system encounters issues while converting training data for machine learning models or predictive analytics.

    Causes:

    1. Data Quality Issues: The training data may contain inconsistencies, missing values, or incorrect formats that prevent successful conversion.
    2. Configuration Errors: Incorrect settings in the machine learning or predictive analytics configuration can lead to conversion failures.
    3. Insufficient Resources: Lack of system resources (memory, processing power) can hinder the conversion process.
    4. Version Compatibility: The version of the SAP system or the machine learning libraries may not be compatible with the data being processed.
    5. Data Volume: Extremely large datasets may exceed the limits set by the system, causing conversion to fail.

    Solutions:

    1. Data Validation: Check the training data for any inconsistencies, missing values, or incorrect formats. Clean and preprocess the data to ensure it meets the required standards.
    2. Configuration Review: Review the configuration settings for the machine learning model or predictive analytics to ensure they are correctly set up.
    3. Resource Allocation: Ensure that the system has sufficient resources (CPU, memory) allocated for the conversion process. Consider optimizing the system or running the process during off-peak hours.
    4. Update System: Ensure that your SAP system and any related components are up to date. Check for patches or updates that may address known issues.
    5. Data Sampling: If the dataset is too large, consider using a smaller sample for training to see if the conversion succeeds. This can help identify if the issue is related to data volume.
    6. Logs and Traces: Check the system logs and traces for more detailed error messages that can provide insights into the specific cause of the failure.

    Related Information:

    • SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may address this specific error or provide guidance on troubleshooting.
    • Documentation: Review the official SAP documentation for the Financial Services Data Management and machine learning components for best practices and configuration guidelines.
    • Community Forums: Engage with the SAP Community or forums where other users may have encountered similar issues and can share their solutions.

    If the problem persists after trying the above solutions, it may be beneficial to contact SAP Support for further assistance, providing them with detailed information about the error and the steps you have already taken.

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