This is not a known problem... there are few ssvd here, sequential, MR and spark one. for the record, which one are you running?
On Thu, Oct 30, 2014 at 4:37 PM, Yang <[email protected]> wrote: > we are running ssvd on a dataset (this one is relatively small, with 8000 > rows, number of columns is 64 ), we ran it with rank = 58, since sampling > p=5. > > the result had NaN on multiple columns. > > why would this appear ? > > I am now running with lower rank=20 , to see if it goes away. > > > Thanks > Yang >
