There are couple of solvers that I've written that is part of the AMPLab ml-matrix repo [1,2]. These aren't part of MLLib yet though and if you are interested in porting them I'd be happy to review it
Thanks Shivaram [1] https://github.com/amplab/ml-matrix/blob/master/src/main/scala/edu/berkeley/cs/amplab/mlmatrix/TSQR.scala [2] https://github.com/amplab/ml-matrix/blob/master/src/main/scala/edu/berkeley/cs/amplab/mlmatrix/NormalEquations.scala On Tue, Mar 3, 2015 at 9:01 AM, Jaonary Rabarisoa <jaon...@gmail.com> wrote: > Dear all, > > Is there a least square solver based on DistributedMatrix that we can use > out of the box in the current (or the master) version of spark ? > It seems that the only least square solver available in spark is private > to recommender package. > > > Cheers, > > Jao >
