Message type: E = Error
Message class: PAL_PRECOND_CHECK - PAL precondition check messages
Message number: 301
Message text: Requirement class not OK
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.
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.
PAL_PRECOND_CHECK301
- Requirement class not OK ?The SAP error message PAL_PRECOND_CHECK301: Requirement class not OK typically occurs in the context of the SAP Predictive Analytics Library (PAL) when certain preconditions for executing a specific algorithm or function are not met. This error is often related to the data or configuration settings required for the predictive model or analysis you are trying to run. Causes: Data Quality Issues: The input data may not meet the requirements of the algorithm. This could include missing values, incorrect data types, or insufficient data points. Configuration Errors: The parameters or settings for the algorithm may not be correctly configured. This includes issues with the model settings or the environment setup. Incompatible Data Types: The data types of the input variables may not be compatible with the requirements of the algorithm. Insufficient Data: The dataset may not have enough records or may not meet the minimum requirements for the algorithm to function properly. Missing Required Variables: Certain algorithms
Get instant SAP help. Sign up for our Free Essentials Plan.
PAL_PRECOND_CHECK300
Requirement class OK
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
PAL_PRECOND_CHECK204
Please select a row
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
PAL_PRECOND_CHECK302
Schedule Line Category OK
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
PAL_PRECOND_CHECK303
Schedule Line Category not OK
Self-Explanatory Message Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of...
Click on this link to search all SAP messages.