How To Fix /ISDFPS/NOTIFICATION002 - No new training data exists

SAP Error Message - Details

• Message type: E = Error

• Message class: /ISDFPS/NOTIFICATION -

• Message number: 002

• Message text: No new training data exists

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 /ISDFPS/NOTIFICATION002 - No new training data exists ?

  The SAP error message /ISDFPS/NOTIFICATION002 No new training data exists typically occurs in the context of SAP's Data Intelligence or similar systems where machine learning models are being trained. This message indicates that the system is unable to find any new training data to process for the model training.
  Causes:
  
  No New Data Available: The most common cause is that there is simply no new data available in the specified data source since the last training run.
  Data Source Configuration: The data source may not be correctly configured, leading to the system not being able to access the new data.
  Data Filtering: There may be filters applied that exclude all available data, resulting in no new data being identified for training.
  Data Loading Issues: There could be issues with the data loading process, such as connectivity problems or data extraction errors.
  Model Configuration: The model may be configured in such a way that it does not