[btown]

Very cool - so the algorithms shared with MLlib are just an example of what can be achieved with such a DSL. This could actually be very useful for inference on domain specific generative models that need custom-derived update steps. And probabilistic programming could be built on top of this. I stand very much corrected - this is definitely a project worth attention from the community separate from Spark itself!