Getting a sparkML serialized model to drop into a JavaScript interpreter is not possible today from what I can see (and certainly wasn't the case 2 years ago).

Getting a sparkML serialized model to drop into a JavaScript interpreter is not possible today from what I can see (and certainly wasn't the case 2 years ago). There does seem to be some good progress in the field with tensorflow.js and ml.js but nothing I'd put in production with a few million users. In native Scala the inference engine with a loaded model takes a few hundred MB of memory, I'd imagine with some JavaScript transpiling with emscripten or similar that would get ballooned quite a bit. I'd be really glad if there was a viable method to do this without murdering the end user device.