(I don't know anything spark specific, so I'm going to treat it like a
Breeze question...)
As I understand it, Spark uses ARPACK via Breeze for SVD, and presumably
the same approach can be used for EVD. Basically, you make a function that
multiplies your "matrix" (which might be represented
Hi,
I wanted to know if there are any implementations yet within the Machine
Learning Library or generally that can efficiently solve eigenvalue problems?
Or if not do you have suggestions on how to approach a parallel execution maybe
with BLAS or Breeze?
Thanks in advance!
Lydia
Von meinem
