ACE_ML -
The following messages are stored in message class ACE_ML: .
It is part of development package FI_GL_RVW_APPRV_ACCR_ML in software component FI-GL-GL-ACE. This development package consists of objects that can be grouped under "Machine Learning for Accrual Review and Approval".
It is part of development package FI_GL_RVW_APPRV_ACCR_ML in software component FI-GL-GL-ACE. This development package consists of objects that can be grouped under "Machine Learning for Accrual Review and Approval".
Message Nr ▲ | Message Text |
|---|---|
| 000 | Accrual machine learning service is not available. |
| 001 | OAuth configuration is incorrect. |
| 002 | RFC destination is empty, set up did not take place. |
| 003 | RFC destination &1 was not connected. |
| 004 | All RFC destinations are established. |
| 005 | Training job &1 is submitted. |
| 006 | Training job is failed to submit. |
| 007 | Training data is uploaded from index &1 to &2. |
| 008 | Failed to upload training data from index &1 to &2. |
| 010 | Prediction model is not ready. |
| 011 | Training is finished. |
| 012 | Prediction is finished. |
| 013 | A total of &1 entries are selected for training. |
| 014 | A total of &1 entries are selected for inference. |
| 015 | Accrual data has been predicted from index &1 to &2. |
| 016 | Failed to predict accrual data from index &1 to &2. |
| 017 | The class distribution ratio must be equal to or greater than 10%. |
| 018 | Data training requires at least 10,000 records. |
| 019 | Reliability classification &1 is not in the value help. |
| 020 | Threshold should not bigger than 100. |