Hi guys
I'm considering apply MLlib SVD in my work. But I find that in the
document, it says: "In this release, we provide SVD computation to
row-oriented matrices that have only a few columns, say, less than 1000, but
many rows, which we call tall-and-skinny." Does that mean this SVD will not
work for a matrix which have a lot of columns, say more than 10000? What
will happen if this kind of matrix is applied to SVD?
Thank you ,
Andy Zhao
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