How To Fix ISLM_API096 - Error occurred during Specified Model training

SAP Error Message - Details

• Message type: E = Error

• Message class: ISLM_API - API Messages

• Message number: 096

• Message text: Error occurred during Specified Model training

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_API096 - Error occurred during Specified Model training ?

  The SAP error message ISLM_API096, which indicates that an error occurred during specified model training, can arise from various issues related to the configuration, data, or system environment. 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 properly.
  Insufficient Data: The dataset may be too small or not representative enough for the model to learn effectively.
  Configuration Errors: Incorrect settings in the model configuration or parameters can lead to training failures.
  Resource Limitations: Insufficient system resources (CPU, memory) can cause the training process to fail.
  Version Compatibility: There may be compatibility issues between different components of the SAP system or with the model itself.
  Model Complexity: The model may be too complex for the available data or system resources.
  
  Solutions:
  
  Data Validation: Check the training data for completeness, accuracy, and appropriateness. Clean the data by handling missing values and outliers.
  Increase Data Volume: If possible, augment the dataset with more relevant data to improve model training.
  Review Configuration: Double-check the model configuration settings and parameters to ensure they are set correctly.
  Monitor System Resources: Ensure that the system has adequate resources (CPU, memory) available for the training process. Consider optimizing resource allocation or upgrading hardware if necessary.
  Check Compatibility: Verify that all components of the SAP system are compatible and up to date. This includes checking for updates or patches that may resolve known issues.
  Simplify the Model: If the model is too complex, consider simplifying it or using a different algorithm that is more suitable for the available data.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for the specific module you are using (e.g., SAP Analytics Cloud, SAP Data Intelligence) for detailed troubleshooting steps and best practices.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
  Logs and Traces: Check system logs and traces for more detailed error messages that can provide insights into the root cause of the issue.
  Support: If the issue persists, consider reaching out to SAP Support for assistance, providing them with detailed information about the error and the context in which it occurred.
  
  By systematically addressing these areas, you should be able to identify and resolve the underlying cause of the ISLM_API096 error during model training.