How To Fix FVD_ML108 - Error while mapping the attribute '&1' with value '&2'

FVD_ML108 - Overview

• Message type: E = Error

• Message class: FVD_ML - Machine Learning

• Message number: 108

• Message text: Error while mapping the attribute '&1' with value '&2'

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.

FVD_ML108 - Details

• The SAP error message FVD_ML108 typically occurs in the context of data mapping or attribute assignment within the SAP system, particularly in the Financial Services sector. This error indicates that there is an issue with mapping a specific attribute to a value, which can arise due to various reasons.
  
  Cause:
  
  Invalid Attribute or Value: The attribute specified in the error message (&1) may not be valid or recognized in the current context, or the value (&2) being assigned to it may not conform to the expected format or data type.
  
  Configuration Issues: There may be a misconfiguration in the mapping settings or in the data model that is causing the system to fail when trying to map the attribute.
  Data Integrity Issues: The data being processed may have integrity issues, such as missing required fields or incorrect data types.
  Custom Development: If there are custom developments or enhancements in the system, they may not be