How To Fix RSDME542 - Required clusters reset equal to training data size (&1)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDME -

  • Message number: 542

  • Message text: Required clusters reset equal to training data size (&1)

  • Show details Hide details
  • What causes this issue?

    The number of valid data records in the training data is less than the
    requested number of clusters.

    System Response

    The number of clusters is reset to the size of the training data.

    How to fix this error?

    If the training results are not satisfactory, increase the training
    data size by using a suitable query.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RSDME542 - Required clusters reset equal to training data size (&1) ?

    The SAP error message RSDME542 indicates that there is a mismatch between the required number of clusters for a certain operation and the size of the training data. This error typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with data modeling, especially in scenarios involving data mining or predictive analytics.

    Cause:

    The error message "Required clusters reset equal to training data size (&1)" usually arises due to one of the following reasons:

    1. Insufficient Data: The training data set may not have enough records to create the required number of clusters. This can happen if the data is filtered too much or if there are not enough relevant records in the dataset.

    2. Configuration Issues: The settings for the clustering algorithm may be incorrectly configured, leading to a requirement for more clusters than can be supported by the available data.

    3. Data Quality Issues: If the data contains a lot of missing values or outliers, it may not be suitable for clustering, which can lead to this error.

    Solution:

    To resolve the RSDME542 error, you can take the following steps:

    1. Check Data Size: Ensure that the training dataset has enough records. If the dataset is too small, consider using a larger dataset or aggregating data from multiple sources.

    2. Adjust Clustering Parameters: Review the parameters set for the clustering algorithm. You may need to reduce the number of clusters required or adjust other settings to better fit the available data.

    3. Data Quality Improvement: Clean the dataset by handling missing values, removing outliers, and ensuring that the data is relevant and well-structured for clustering.

    4. Re-run the Process: After making the necessary adjustments, re-run the clustering process to see if the error persists.

    5. Consult Documentation: Refer to SAP documentation or support resources for specific guidance on the clustering algorithm you are using, as different algorithms may have different requirements.

    Related Information:

    • SAP BW and HANA Documentation: Check the official SAP documentation for detailed information on data mining and clustering algorithms.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
    • SAP Notes: Look for any relevant SAP Notes that might address this specific error or provide patches or updates that could resolve the issue.

    By following these steps, you should be able to diagnose and resolve the RSDME542 error effectively.

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