How To Fix RSDME241 - No valid values found for model field &1 in the training data

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 241

• Message text: No valid values found for model field &1 in the training data

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 RSDME241 - No valid values found for model field &1 in the training data ?

  The SAP error message RSDME241 indicates that there are no valid values found for a specific model field during the training of a predictive model in SAP BW (Business Warehouse) or SAP HANA. This error typically occurs when the data being used for training does not contain any valid entries for the specified field, which is necessary for the model to learn from.
  Causes:
  
  Missing Data: The field specified in the error message may not have any data in the training dataset. This could be due to data extraction issues or filters applied that exclude relevant records.
  Incorrect Field Mapping: The field may not be correctly mapped in the model configuration, leading to the system not recognizing it as a valid input.
  Data Quality Issues: The data might contain null or invalid values that are not suitable for training the model.
  Inappropriate Data Type: The data type of the field may not be compatible with the model requirements, leading to it being ignored during training.
  
  Solutions:
  
  Check Data Availability: Verify that the training dataset contains valid entries for the specified field. You can do this by running queries or reports to inspect the data.
  Data Cleansing: If there are null or invalid values, consider cleansing the data to ensure that only valid entries are included in the training dataset.
  Field Mapping Verification: Review the model configuration to ensure that the field is correctly mapped and recognized by the system.
  Adjust Filters: If filters are applied to the data extraction process, ensure that they are not overly restrictive and are allowing the necessary data to be included.
  Data Type Check: Ensure that the data type of the field is appropriate for the model. If necessary, convert the data to the required format.
  
  Related Information:
  
  Model Configuration: Familiarize yourself with the model configuration settings in SAP BW or SAP HANA to ensure that all fields are correctly defined.
  Data Source: Review the data source from which the training data is being extracted to ensure it is complete and accurate.
  SAP Documentation: Consult SAP's official documentation or support resources for additional guidance on predictive modeling and troubleshooting related errors.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
  
  By addressing the above points, you should be able to resolve the RSDME241 error and successfully train your predictive model.