How To Fix MMPUR_ML_CTLGITM_IMG013 - Unexpected error in training job. Open a ticket on component CA-ML-PA.


MMPUR_ML_CTLGITM_IMG013 - Overview

  • Message type: E = Error

  • Message class: MMPUR_ML_CTLGITM_IMG - ML Catalog Item Image Search Training Messages

  • Message number: 013

  • Message text: Unexpected error in training job. Open a ticket on component CA-ML-PA.

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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 MMPUR_ML_CTLGITM_IMG013 - Unexpected error in training job. Open a ticket on component CA-ML-PA. ?
    The SAP error message MMPUR_ML_CTLGITM_IMG013 indicates that there was an unexpected error during a training job related to machine learning in the SAP system. This error is associated with the component CA-ML-PA, which pertains to the SAP Machine Learning Predictive Analytics.
    
    Cause: The specific cause of this error can vary, but common reasons include: Data Issues: The training data may be incomplete, corrupted, or not formatted correctly. Configuration Problems: There may be misconfigurations in the machine learning model settings or parameters. Resource Limitations: Insufficient system resources (CPU, memory) can lead to failures during the training process. Software Bugs: There may be bugs in the SAP software or the machine learning algorithms being used. Version Compatibility: The version of the SAP system or the machine learning component may not be compatible with the data or other components.
    Solution: To resolve the error, you can take the following steps: Check Logs: Review the detailed logs for the training job to identify any

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