How To Fix COM_PME_PARSER185 - No valid inferences could be calculated

SAP Error Message - Details

• Message type: E = Error

• Message class: COM_PME_PARSER - Configuration

• Message number: 185

• Message text: No valid inferences could be calculated

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message COM_PME_PARSER185 - No valid inferences could be calculated ?

  The SAP error message COM_PME_PARSER185: No valid inferences could be calculated typically occurs in the context of SAP's Predictive Analytics or similar applications where the system is trying to perform calculations or inferences based on the data provided. This error indicates that the system was unable to derive any valid inferences from the input data, which can be due to several reasons.
  Causes:
  
  Insufficient Data: The dataset may not contain enough records or relevant information for the predictive model to generate valid inferences.
  Data Quality Issues: There may be missing values, outliers, or incorrect data types in the dataset that prevent the model from functioning correctly.
  Incompatible Data Types: The input data may contain incompatible data types that the predictive model cannot process.
  Model Configuration Issues: The predictive model may not be configured correctly, leading to an inability to process the data.
  Feature Selection: The features selected for the model may not be appropriate or relevant for the inference being calculated.
  
  Solutions:
  
  Check Data Quality: Review the dataset for missing values, outliers, and ensure that the data types are correct. Clean the data as necessary.
  Increase Data Volume: If possible, increase the amount of data being used for the analysis to provide the model with more information.
  Review Model Configuration: Ensure that the predictive model is configured correctly and that all necessary parameters are set appropriately.
  Feature Engineering: Re-evaluate the features being used in the model. Consider adding or removing features based on their relevance to the inference.
  Consult Documentation: Refer to SAP documentation or support resources for specific guidance related to the predictive model you are using.
  Error Logs: Check the error logs for more detailed information about what might be causing the issue.
  
  Related Information:
  
  SAP Notes and Knowledge Base Articles: Search for specific SAP Notes related to the error message for any patches or updates that may address the issue.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
  Training and Documentation: Review any training materials or documentation related to the predictive analytics tools you are using to ensure you are following best practices.
  
  If the issue persists after trying the above solutions, consider reaching out to SAP support for further assistance.