Custom Data Word Vector
Issue:
Zia Approval prediction is not working when the prediction query has signature and new words other than custom data present in it.
Fix:
-> The proper approval comment and the signature has new line character(\n) in between them. So splitting the content into two and predicting the first content again (Approved) thereby, filtering the signature.
-> The words other than custom data is not considered for vectorization using Zlabs new jars
Support Ticket Reference:
Compatible SDP Version:
13005 - 13008
Note:
This fix is to troubleshoot this particular case. Please contact the developer team before sharing the fix to customers
New to ADSelfService Plus?
Related Articles
What is Data Archiving ?
Data Archiving is a process where requests will be moved to the archived state (archived requests) and will be removed from the active requests list. In the database perspective, It will be just moved from workorder table to arc_workorder table in ...How to migrate data from SDP to SDP MSP.
Below are the only details which can be exported from SDP and imported to SDP MSP application. 1) You can export request data from ServiceDesk Plus (SDP) using XLS format. Requests -> Goto Admin -> Reports -> New custom report -> Tabular reports -> ...Script to add worklog using custom schedule
What is a Custom Schedule? Custom Schedules are actions scheduled on a specific date and time with or without repeat frequency. The actions are specified in a customized script file. Any data from ServiceDesk Plus can be sent to the script through ...Notification script using Custom function in custom trigger
This is applicable from 10600 builds. From 10600 , Business rules dont have Email notification feature. The same use case be achieved through Custom triggers feature as mentioned below. Script to enable notification of request creation using custom ...Risk Matrix for Change using Custom Module
Overview: A risk matrix helps in identifying risks based on how likely they are to happen and how serious their impact could be. This makes it easier to decide which risks need urgent attention and which ones can be watched over time. It helps manage ...