Isabel, if i understand it correctly, you are asking whether it makes sense add end2end scenarios based on Samsara to current codebase?
The answer is, absolutely. Yes it does for both rather isolated issues (like computing clusters) and end-2-end scenarios. The only problem with end 2 end scenarious is they often difficult to demonstrate with batch-oriented coputational system only. That's what prediction.io kind of picked on with COO, they included all of data ingestion, computation and real time scoring queries. But yes, there's, absolutely, tons of value in that. Not everything fits quite nicely, and not everything fits end-2-end (just like with R), but some fairly significant pieces do fit to be written on top. > > > > perspective? If so, would there be interest among the Mahout > committers to > > > help > > > users publicly create docs/examples/modules to support these use cases? > > > > > > > yes > > Where do we start? ;) > I would start with figuring a problem I want to solve AND I have a budget to do it AND i can legally contribute on behalf of the IP owner. Then we can think of whether it is a good fit (Samsara is mostly limited to tensor based data only, just like Mapreduce DRM was/is). Some things may not have a convenient algebraic formulation. -d
