What is the reason Spark has an individual implementations of read/write routines for every model in mllib and ml? (Saveable and MLWritable trait impls)
Wouldn't a generic implementation via Java serialization mechanism work? I would like to use it to store the models to a custom storage. -- Oleksiy
