+1 for foundations first. There are bunches of algorithms just behind that. K-means. SGD+Adagrad regression. Autoencoders. K-sparse encoding. Lots of stuff.
On Wed, Apr 30, 2014 at 4:52 PM, Sebastian Schelter <[email protected]> wrote: > I think you should concentrate on MAHOUT-1490, that is a highly important > task that will be the foundation for a lot of stuff to be built on top. > Let's focus on getting this thing right and then move on to other things. > > --sebastian > > > On 04/30/2014 04:44 PM, Saikat Kanjilal wrote: > >> Sebastien/Dmitry,In looking through the current list of issues I didnt >> see other algorithms in mahout that are talked about being ported to spark, >> I was wondering if there's any interest/need in porting or writing things >> like LR/KMeans/SVM to use spark, I'd like to help out in this area while >> working on 1490. Also are we planning to port the distributed versions of >> taste to use spark as well at some point. >> Thanks in advance. >> >> >
