Pega Adaptive Snapshot
I just wanted to know the internal architecture of adaptive models. Pega is currently uploading all the responses into adaptive models. It is creating a new snapshot record in the Data-Decision-ADM-ModelSnapshot for every single day. What is the purpose of this class? Why don't it create a new entry after single run or at least after every single update? Is there any reason for this?
We have adaptive models which are getting trained every day based on the web responses. We are using a delay learning architecture. Pega doesn't store the individual adaptive responses into adaptive models. It calculates the outcomes using ML and add one record as a snapshot entry(Based on my understanding). What happens if the ADMSnapshot agent is down on one particular day? How can we recover the responses past responses? How do we know which responses it has processed till that time? Is there any way to do a disaster recovery? Thanks in advance.