This sounds good, but sounds like a whole different project or projects. For example where does R appear from, what non-MR implementations, etc, what is the no Hadoop implementation? On Feb 28, 2014 12:38 AM, "Ted Dunning" <ted.dunn...@gmail.com> wrote:
> I would like to start a conversation about where we want Mahout to be for > 1.0. Let's suspend for the moment the question of how to achieve the > goals. Instead, let's converge on what we really would like to have happen > and after that, let's talk about means that will get us there. > > Here are some goals that I think would be good in the area of numerics, > classifiers and clustering: > > - runs with or without Hadoop > > - runs with or without map-reduce > > - includes (at least), regularized generalized linear models, k-means, > random forest, distributed random forest, distributed neural networks > > - reasonably competitive speed against other implementations including > graphlab, mlib and R. > > - interactive model building > > - models can be exported as code or data > > - simple programming model > > - programmable via Java or R > > - runs clustered or not > > > What does everybody think? >
