2 Categorization Of Spend Transactions Using ML Engines
This topic provides information on Categorization Of Spend Transactions Using ML Engines.
Bank must use their own Third-party ML Engine provider and customized adapter. If they don't have ML engine provider, then they have to disable the ML Engine call using Configuration of ML call for Spend transaction categorization flag as mentioned ahead. If in case categories provided by ML engine does not exist in the system, then system will create those categories.
To enable the ML engine call, we need to set the Spend transaction Machine Learning categorization flag to Y. If user do not set this value, the ML engine service will remain inactive by default.
We can be able to update the flag with the help of System configuration screen with Admin Type Role.
Figure 2-1 System configuration screen with Admin Type Role
Below entry are required to activate ML engine interface call.
Insert into DIGX_FW_CONFIG_ALL_O
(PROP_ID,PREFERENCE_NAME,PROP_VALUE,DETERMINANT_VALUE,CREATED_BY,CREATION_DATE,LAST_UPDATED_BY,LAST_UPDATED_DATE)
values ('<<ENTITY_ID>>.com.ofss.digx.extxface.spendanalysis.adapter.transaction.ISpendUnCategorizedTransactionAdapter
.getSpendTransactionCategory','ExtxfaceAdapterPreference',
<<Fully qualified packagename and class name of customized adapter class>>
','01','ofssuser',to_timestamp(sysdate,'DD-MON-RR HH.MI.SSXFF AM'),'ofssuser',to_timestamp(sysdate,'DD-MON-RR HH.MI.SSXFF AM'));