How To Fix ISLM_API091 - Model Training was unsuccessful

SAP Error Message - Details

• Message type: E = Error

• Message class: ISLM_API - API Messages

• Message number: 091

• Message text: Model Training was unsuccessful

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 ISLM_API091 - Model Training was unsuccessful ?

  The SAP error message ISLM_API091, which indicates that "Model Training was unsuccessful," typically arises in the context of SAP's Integrated Business Planning (IBP) or other machine learning applications within the SAP ecosystem. This error can occur for various reasons during the model training phase. Here are some common causes, potential solutions, and related information:
  Causes:
  
  Data Quality Issues: The training data may contain missing values, outliers, or incorrect formats that prevent the model from training successfully.
  Insufficient Data: There may not be enough data points to train the model effectively, leading to poor performance or failure.
  Configuration Errors: Incorrect settings in the model configuration, such as parameters or algorithms, can lead to training failures.
  Resource Limitations: Insufficient computational resources (CPU, memory) can cause the training process to fail.
  Model Complexity: The chosen model may be too complex for the available data, leading to overfitting or convergence issues.
  Version Compatibility: There may be compatibility issues between different versions of SAP components or libraries.
  
  Solutions:
  
  Data Validation: Check the training data for completeness, accuracy, and consistency. Clean the data by handling missing values and outliers.
  Increase Data Volume: If possible, gather more data to ensure that the model has enough information to learn from.
  Review Configuration: Double-check the model configuration settings. Ensure that the parameters are set correctly and that the chosen algorithm is appropriate for the data.
  Monitor Resources: Ensure that the system has adequate resources (CPU, memory) to handle the training process. Consider scaling up resources if necessary.
  Simplify the Model: If the model is too complex, consider using a simpler model or reducing the number of features used in training.
  Check Logs: Review the logs generated during the training process for any specific error messages or warnings that can provide more insight into the failure.
  Consult Documentation: Refer to SAP's official documentation for the specific module you are using to ensure that you are following best practices for model training.
  Seek Support: If the issue persists, consider reaching out to SAP support or consulting with an SAP expert who can provide more tailored assistance.
  
  Related Information:
  
  SAP Notes and Knowledge Base Articles: Check SAP's support portal for any relevant notes or articles that address this specific error message.
  Community Forums: Engage with the SAP community forums where other users may have encountered similar issues and can share their solutions.
  Training and Tutorials: Consider reviewing training materials or tutorials related to the specific SAP module you are using to ensure you are following the correct procedures.
  
  By systematically addressing these potential causes and implementing the suggested solutions, you should be able to resolve the ISLM_API091 error and successfully train your model.