How To Fix RSDME136 - Model &1 not trained

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 136

• Message text: Model &1 not trained

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME136 - Model &1 not trained ?

  The SAP error message RSDME136, which states "Model &1 not trained," typically occurs in the context of SAP BW/4HANA or SAP BW when working with predictive analytics or machine learning models. This error indicates that the specified model has not been trained yet, meaning that it cannot be used for making predictions or analyses.
  Cause:
  
  Model Not Trained: The primary cause of this error is that the model referenced (denoted by &1) has not undergone the training process. In predictive scenarios, models need to be trained on historical data to learn patterns before they can be used for predictions.
  Data Issues: There may be issues with the data that is supposed to be used for training, such as missing values, incorrect formats, or insufficient data volume.
  Configuration Issues: The model may not be properly configured, or the training job may not have been executed successfully.
  
  Solution:
  
  
  Train the Model: 
  
  Navigate to the relevant application or transaction in SAP where the model is defined.
  Initiate the training process for the model. This usually involves selecting the model and executing a training job with the appropriate dataset.
  Ensure that the training job completes successfully without errors.
  
  
  
  Check Data Quality:
  
  Review the dataset that is being used for training. Ensure that it is complete, correctly formatted, and contains sufficient data for the model to learn from.
  Address any data quality issues, such as missing values or outliers, before retraining the model.
  
  
  
  Review Configuration:
  
  Check the configuration settings of the model to ensure that all parameters are set correctly.
  Verify that the model is linked to the correct data sources and that all necessary settings are in place.
  
  
  
  Monitor Training Logs:
  
  After attempting to train the model, check the logs for any warnings or errors that may indicate why the training did not complete successfully.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for specific instructions on training models in your version of SAP BW/4HANA or SAP BW.
  
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address known issues or provide additional guidance related to model training and error handling.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
  Training Resources: Consider accessing SAP training resources or tutorials that cover predictive analytics and model training in SAP environments.
  
  By following these steps, you should be able to resolve the RSDME136 error and successfully train your model for use in predictive analytics.