How To Fix FKK_ML_SRV116 - The extraction of the training data contains errors.

FKK_ML_SRV116 - Overview

• Message type: E = Error

• Message class: FKK_ML_SRV - FI-CA Machine Learning (ML)

• Message number: 116

• Message text: The extraction of the training data contains errors.

What causes this issue?

You want to query the status of the training model. The system has
ascertained that the data extraction run contains errors for the
training.

System Response

The query for the Machine Learning server has been terminated.

How to fix this error?

Analyze the error message in the previous training run. Eliminate the
cause of error.

Begin the run for the training once again and query the status of the
model again at a later point in time.

Begin the run for the training (transaction FPML_CASHAPP_TRAIN) once
again and query the status of the model again at a later point in time.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message FKK_ML_SRV116 - The extraction of the training data contains errors. ?

  The SAP error message FKK_ML_SRV116 indicates that there are issues with the extraction of training data in the context of the SAP Convergent Charging (SAP CC) or SAP Convergent Invoicing (SAP CI) modules. This error typically arises during the process of data extraction for machine learning or predictive analytics purposes.
  Causes:
  
  Data Quality Issues: The training data may contain inconsistencies, missing values, or invalid entries that prevent successful extraction.
  Configuration Errors: Incorrect configuration settings in the SAP system related to data extraction or machine learning models.
  Technical Issues: Problems with the underlying database or data sources, such as connectivity issues or database corruption.
  Version Compatibility: The version of the SAP system or the machine learning component may not be compatible with the data being processed.
  
  Solutions:
  
  Data Validation: Check the training data for any inconsistencies, missing values, or invalid entries. Clean the data to ensure it meets the required standards.
  Review Configuration: Verify the configuration settings related to