How To Fix FVD_ML057 - Model training unsuccessful

SAP Error Message - Details

• Message type: E = Error

• Message class: FVD_ML - Machine Learning

• Message number: 057

• Message text: Model training 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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message FVD_ML057 - Model training unsuccessful ?

  The SAP error message FVD_ML057 indicates that model training was unsuccessful in the context of SAP's machine learning capabilities, particularly within the SAP Business Technology Platform or SAP S/4HANA environments. This error can arise due to various reasons, and understanding the cause is crucial for troubleshooting.
  Possible Causes:
  
  Data Quality Issues: The training data may contain missing values, outliers, or incorrect data types that prevent the model from training successfully.
  Insufficient Data: There may not be enough data points to train the model effectively, leading to overfitting or underfitting.
  Feature Engineering Problems: The features selected for training may not be relevant or may not provide enough information for the model to learn from.
  Configuration Errors: Incorrect settings in the model configuration or parameters can lead to training failures.
  Resource Limitations: Insufficient computational resources (memory, CPU) can hinder the training process.
  Model Complexity: The chosen model may be too complex for the available data, leading to convergence issues during training.
  
  Solutions:
  
  Data Cleaning: Review and clean the training data to handle missing values, outliers, and ensure correct data types.
  Increase Data Volume: If possible, gather more data to provide the model with a better training set.
  Feature Selection: Re-evaluate the features used for training. Consider using feature selection techniques to identify the most relevant features.
  Check Configuration: Review the model configuration settings and parameters to ensure they are set correctly.
  Resource Allocation: Ensure that the system has adequate resources allocated for model training. This may involve increasing memory or CPU allocation.
  Simplify the Model: If the model is too complex, consider using a simpler model or reducing the number of parameters.
  
  Related Information:
  
  Logs and Error Messages: Check the logs for more detailed error messages that can provide insights into why the training failed.
  SAP Notes and Documentation: Refer to SAP's official documentation and support notes for specific guidance related to the FVD_ML057 error.
  Community Forums: Engage with the SAP community forums or support channels to see if others have encountered similar issues and found solutions.
  Testing: Conduct tests with smaller subsets of data to isolate the issue and determine if it is data-related or configuration-related.
  
  By systematically addressing these areas, you can identify the root cause of the FVD_ML057 error and implement the appropriate solution to successfully train your model.