I am designing the architecture of an analytics system . I have a classification ensemble model developed in scikit learn . I want to move this to the production environment so the new incoming data can be classified on the fly using this model. Ideally the system should support a manual upload of "model" into production system. I don't have any experience with analytics production systems. Any suggestions would be very helpful
I have checked out Py2PMML But it does not support all the models. Primarily I am looking for Boosted tree regressions. PS: I am not asking for code or samples. Just the right direction.