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 <jaonary@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