Hi All, We are using universal recommender for our use case.
We have both batch processing and event processing scenarios. In this context i have the following question. 1. We have a batch processing setup, import the events in batch every day, train and deploy. 2. We also send real time events, train the model manually and deploy. Can the second step be done by incremental training on the already existing model. As per the lambda architecture setup it should be possible, Best Regards, Saurav
