Implement Delayed Learning in adaptive model
I need to implement delayed learning in adaptive model.
I have read about the various learning options and how PEGA implements delayed learning by utilising Cassandra. I have built a request and a response data flow for feeding the models.
So as I understand, during making a request, Cassandra will store the interactionID(which should not go to adaptive Model data set) and during response this interaction should be mapped with the incoming request and then only the response should be fed to adaptive.
Here the question is , during the time of making decision, when predictor inputs are recorded, is there a way to run an activity/data flow which will feed the adaptive model in case no response was received within the configured time (TimeToLive)? So if there was no response within that time, how does adaptive (Adaptive data set) get updated after the TimeToLive expires?
Thanks in advance.