I think getting the design right for MAHOUT-1490 is tough. Dmitriy
suggested to update the design example to Scala code and try to work in
things that fit from dply from R and MLTable. I'd love to see such a
design doc.
--sebastian
On 04/30/2014 05:02 PM, Ted Dunning wrote:
+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.
