On Thu, Aug 9, 2012 at 4:34 PM, Pat Ferrel <[email protected]> wrote: > Quoth Grant Ingersoll: >> To put this in bin/mahout speak, this would look like, munging some names >> and taking liberties with the actual argument to be passed in: >> >> bin/mahout svd (original -> svdOut) >> bin/mahout cleansvd ... >> bin/mahout transpose svdOut -> svdT >> bin/mahout transpose original -> originalT >> bin/mahout matrixmult originalT svdT -> newMatrix >> bin/mahout kmeans newMatrix > > I'm trying to create a test case from testKmeansDSVD2 to use SSVDSolver. Does > SSVD require the EigenVerificationJob to clean the eigen vectors?
No > if so where does SSVD put the equivalent of > DistributedLanczosSolver.RAW_EIGENVECTORS? Seems like they should be in V* > but SSVD creates V so should I transpose V* then run it through the > EigenVerificationJob? no SSVD is SVD, meaning it produces U and V with no further need to clean that > I get errors when I do so trying to figure out if I'm on the wrong track.
