ACESOBJ_ITMPE_ML - Machine Learning Inference Result of Accrual Period Data
Machine Learning Inference Result of Accrual Period Data information is stored in SAP table ACESOBJ_ITMPE_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".
Fields for table ACESOBJ_ITMPE_ML
Field Name | Description | Is Key | Data Element | Data Type | Length | Check Table |
---|---|---|---|---|---|---|
MANDT | Client | X | MANDT | CLNT | 6 | |
.INCLUDE | X | ACESOBJ_ITEM_PER_KEY | 0 | |||
.INCLUDE | X | ACESOBJ_ITEM_PER_TIKEY | 0 | |||
.INCLUDE | X | ACESOBJ_ITEM_TIKEY | 0 | |||
.INCLUDE | X | ACESOBJ_KEY | 0 | |||
COMP | Accrual Engine Application Component | X | ACE_COMP | CHAR | 8 | TACECOMP |
LOGSYS | Logical System of Accrual Object | X | ACE_LOGSYS | CHAR | 20 | |
BUKRS | Company Code | X | ACE_BUKRS | CHAR | 8 | |
REF_KEY | Identifier of the Accrual Object | X | ACE_OBJ_ID | CHAR | 64 | * |
REF_SUBKEY | Identifier of the Accrual Subobject | X | ACE_SUBOBJ_ID | CHAR | 64 | |
ITEMTYPE | Accrual Item Type | X | ACE_ITEMTYPE | CHAR | 22 | |
RLDNR | Ledger in General Ledger Accounting | X | FINS_LEDGER | CHAR | 4 | |
PERIOD_END_DATE | Last day of period in Accrual Engine | X | ACE_PERIOD_END_DATE | DATS | 16 | |
IS_ML_PROPOSAL_CONFIRMED | Confirmed by Machine Learning Proposal | FACRA_ML_PROPOSAL_CONFIRMED | CHAR | 2 | ||
ML_PROPOSAL_CONFIDENCE | Confidence of Machine Learning Proposal | FACRA_ML_PROPOSAL_CONFIDENCE | DEC | 3 | ||
ML_PROPOSED_BY | Name of the user who has run the inference | FACRA_ML_PROPOSED_BY | CHAR | 24 | ||
ML_PROPOSED_ON | Day on which the inference was run | FACRA_ML_PROPOSED_ON | DATS | 16 | ||
ML_PROPOSED_AT | Time at which the inference was run | FACRA_ML_PROPOSED_AT | TIMS | 12 |