Hello, so i finally got around to actually do it.
I want to get Mahout sparse vectors and matrices (DRMs) and rebuild some solvers using spark and Bagel /scala. I also want to use in-core solvers that run directly on Mahout. Question #1: which mahout artifacts are better be imported if I don't want to pick the hadoop stuff dependencies? Is there even such a separation of code? I know mahout-math seems to try to avoid being hadoop specfic but not sure if it is followed strictly. Question #2: which in-core solvers are available for Mahout matrices? I know there's SSVD, probably Cholesky, is there something else? In paticular, i need to be solving linear systems, I guess Cholesky should be equipped enough to do just that? Question #3: why did we try to import Colt solvers rather than actually depend on Colt in the first place? Why did we not accept Colt's sparse matrices and created native ones instead? Colt seems to have a notion of parse in-core matrices too and seems like a well-rounded solution. However, it doesn't seem like being actively supported, whereas I know Mahout experienced continued enhancements to the in-core matrix support. Thanks in advance -Dmitriy
