Hello everyone, i'm using lambda architecture to build a fraud detection project , i build my model using machine learning in databricks , after saving the model , i load the model in the speed layer to predict the incoming data, i want to know how can i retrain this model using new incoming data from eventhub ??
does the retrain should be in the batch layer ?
thanks for helping