Hi, I am curious if prediction.IO supports different environments e.g. is it possible to define a separate spark context for training and serving of the model in engine.json?
The idea is that a trained model e.g. xgboost could be evaluated very quickly outside of a cluster environment (no yarn, ... involved, only prediction.io in docker with a database + model in file system) Cheers, Georg
