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
