How To Fix ML_CAI_MESSAGE055 - Training model &1 is not active. De-activation aborted.

SAP Error Message - Details

• Message type: E = Error

• Message class: ML_CAI_MESSAGE -

• Message number: 055

• Message text: Training model &1 is not active. De-activation aborted.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message ML_CAI_MESSAGE055 - Training model &1 is not active. De-activation aborted. ?

  The SAP error message ML_CAI_MESSAGE055 indicates that a training model (identified by &1) is not active, which prevents the deactivation process from proceeding. This error typically arises in the context of machine learning or predictive analytics within SAP systems, particularly when dealing with the SAP Leonardo Machine Learning capabilities or similar functionalities.
  Cause:
  
  
  Model Status: The training model you are trying to deactivate is not in an active state. This could be due to:
  
  The model has not been trained successfully.
  The model has been explicitly set to an inactive state.
  There may be issues with the model's configuration or data that prevent it from being activated.
  
  
  
  Dependencies: There may be dependencies or references to the model in other processes or applications that require it to remain active.
  
  
  Solution:
  
  
  Check Model Status:
  
  Navigate to the relevant transaction or application where the model is managed (e.g., SAP Predictive Analytics, SAP Leonardo).
  Verify the status of the model. If it is inactive, you may need to activate it first.
  
  
  
  Activate the Model:
  
  If the model is inactive, attempt to activate it. This usually involves selecting the model and choosing the "Activate" option.
  Ensure that all necessary training data and configurations are correctly set up before activation.
  
  
  
  Review Logs and Messages:
  
  Check for any logs or additional error messages that might provide more context on why the model is inactive.
  Look for any warnings or errors during the training process that might indicate issues.
  
  
  
  Re-train the Model:
  
  If the model has not been trained successfully, you may need to re-train it with the appropriate data and parameters.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources specific to the machine learning component you are using for additional troubleshooting steps.
  
  
  
  Contact SAP Support:
  
  If the issue persists and you cannot determine the cause, consider reaching out to SAP support for assistance. Provide them with the error message and any relevant details about the model and its configuration.
  
  
  
  Related Information:
  
  SAP Machine Learning Documentation: Familiarize yourself with the specific SAP machine learning tools and their functionalities.
  Transaction Codes: Depending on your SAP version, you may use specific transaction codes to manage machine learning models (e.g., /AIF/ML_MODEL).
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed.
  
  By following these steps, you should be able to address the error and successfully manage your training model within the SAP environment.