How To Fix WGDS_PROCESS765 - Training data for model &1 is not ready to be split

SAP Error Message - Details

• Message type: E = Error

• Message class: WGDS_PROCESS - Global data synchronisation

• Message number: 765

• Message text: Training data for model &1 is not ready to be split

Self-Explanatory Message

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• What is the cause and solution for SAP error message WGDS_PROCESS765 - Training data for model &1 is not ready to be split ?

  Certainly! Here's a detailed explanation for the SAP error message:
  
  SAP Error Message:
  WGDS_PROCESS765: Training data for model &1 is not ready to be split
  
  Cause:
  This error occurs in the SAP Predictive Analytics or SAP Data Intelligence context when the system attempts to split the training data for a machine learning model, but the training data is not yet prepared or available in the expected state.
  Possible reasons include:
  
  The training dataset has not been fully loaded or processed.
  The data preparation step (such as data cleansing, feature engineering, or data transformation) has not been completed.
  The dataset is empty or does not meet the minimum requirements for splitting (e.g., too few records).
  The model configuration or pipeline is incomplete or incorrectly set up, causing the system to look for training data that does not exist or is not ready.
  There might be a timing issue where the split operation is triggered before the data preparation finishes.
  
  
  Solution:
  To resolve this error, consider the following steps:
  
  
  Verify Data Preparation:
  
  Ensure that the training data has been fully prepared and loaded into the system.
  Check that all preprocessing steps (cleaning, normalization, feature extraction) have been completed successfully.
  
  
  
  Check Dataset Size and Quality:
  
  Confirm that the dataset contains enough records to be split into training and testing subsets.
  If the dataset is too small, consider collecting more data or adjusting the split ratio.
  
  
  
  Review Model Configuration:
  
  Validate the model setup and pipeline configuration to ensure that the training data source is correctly specified.
  Make sure that the data splitting step is correctly sequenced after data preparation.
  
  
  
  Re-run Data Preparation:
  
  If the data preparation step failed or was incomplete, re-run it to ensure the training data is ready.
  
  
  
  Check Logs and System Status:
  
  Review system logs for any errors or warnings related to data loading or preparation.
  Ensure that there are no system resource issues or connectivity problems affecting data availability.
  
  
  
  Timing and Synchronization:
  
  If the process is automated, add checks or delays to ensure that the data preparation completes before the split operation starts.
  
  
  
  
  Related Information:
  
  This error is commonly seen in SAP Predictive Analytics (formerly SAP InfiniteInsight) or SAP Data Intelligence when working with machine learning pipelines.
  Proper data preparation and validation are critical steps before model training.
  Refer to SAP documentation on Data Preparation and Model Training Workflow for best practices.
  If using SAP Data Intelligence, check the pipeline operators and their execution order.
  For more detailed troubleshooting, consult SAP Notes or open an SAP Support ticket with the error message and context.
  
  
  If you provide more context (e.g., which SAP product/module you are using, the steps leading to the error), I can offer more tailored advice.