Hi, I have question about, how can I real time make decision using a model I have created with Spark ML.
1. I have some data and created model using it. // Train the model val model = new LogisticRegressionWithLBFGS().setNumClasses(2).run( trainingData) 2. I believe, I can use spark streaming to get real time feed and then predict result against model created in step1 3. My question is, how can I do it in synchronous way? For e.g. lets say if some customer logs in to my site, then according to his data, I want to personalize his site. I want to send his attributes to model and get prediction before rendering anything on page. How can I do this synchronously? Regards, Suyog