There is a usability difference...I am not sure if recommendation.ALS would like to add both userConstraint and productConstraint ? GraphLab CF for example has it and we are ready to support all the features for modest ranks where gram matrices can be made...
For large ranks I am still working on the code On Tue, Feb 17, 2015 at 3:19 PM, Xiangrui Meng <men...@gmail.com> wrote: > The current ALS implementation allow pluggable solvers for > NormalEquation, where we put CholeskeySolver and NNLS solver. Please > check the current implementation and let us know how your constraint > solver would fit. For a general matrix factorization package, let's > make a JIRA and move our discussion there. -Xiangrui > > On Fri, Feb 13, 2015 at 7:46 AM, Debasish Das <debasish.da...@gmail.com> > wrote: > > Hi, > > > > I am bit confused on the mllib design in the master. I thought that core > > algorithms will stay in mllib and ml will define the pipelines over the > > core algorithm but looks like in master ALS is moved from mllib to ml... > > > > I am refactoring my PR to a factorization package and I want to build it > on > > top of ml.recommendation.ALS (possibly extend from ml.recommendation.ALS > > since first version will use very similar RDD handling as ALS and a > > proximal solver that's being added to breeze) > > > > https://issues.apache.org/jira/browse/SPARK-2426 > > https://github.com/scalanlp/breeze/pull/321 > > > > Basically I am not sure if we should merge it with recommendation.ALS > since > > this is more generic than recommendation. I am considering calling it > > ConstrainedALS where user can specify different constraint for user and > > product factors (Similar to GraphLab CF structure). > > > > I am also working on ConstrainedALM where the underlying algorithm is no > > longer ALS but nonlinear alternating minimization with constraints. > > https://github.com/scalanlp/breeze/pull/364 > > This will let us do large rank matrix completion where there is no need > to > > construct gram matrices. I will open up the JIRA soon after getting > initial > > results > > > > I am bit confused that where should I add the factorization package. It > > will use the current ALS test-cases and I have to construct more > test-cases > > for sparse coding and PLSA formulations. > > > > Thanks. > > Deb >
