If there's a need for inversion that's good info; would love to know the
purpose to get a sense of how people want to use the product.
On Saturday, October 3, 2015, Allen McIntosh
wrote:
> Can you explain why you feel you must invert a very large matrix. This
> can be a Bad Idea.
>
> On 10/03/2
Can you explain why you feel you must invert a very large matrix. This
can be a Bad Idea.
On 10/03/2015 08:09 PM, go canal wrote:
> oh, it is so unfortunate that the first step of my project requires
> the inversion of a very large matrix. will have to revert back to
> scalapack or MR based solut
oh, it is so unfortunate that the first step of my project requires the
inversion of a very large matrix. will have to revert back to scalapack or MR
based solutions I guess.
thanks, canal
On Saturday, October 3, 2015 11:31 PM, Ted Dunning
wrote:
I doubt seriously that Samsara wi
I doubt seriously that Samsara will support matrix inversion per se. The
problem is
a) it densifies sparse matrices
b) it is much more costly than solving a linear system
Samsara is roughly memory based, but different back-ends will try to spill
to disk if necessary. It is likely that the resul
Hello,I am running a very simple Mahout application in Eclipse, but got this
error:
Exception in thread "main" java.lang.IllegalArgumentException: Unable to read
output from "mahout -spark classpath". Is SPARK_HOME defined?
I have SPARK_HOME defined in Eclipse as an environment variable with valu
