I used reflection initially, but I found it's very slow especially in
a tight loop. Maybe caching the reflection can help which I never try.
Sincerely,
DB Tsai
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On Mon, Nov 30, 2015 at 2
Or you could also use reflection like in this Spark Package:
https://github.com/brkyvz/lazy-linalg/blob/master/src/main/scala/com/brkyvz/spark/linalg/BLASUtils.scala
Best,
Burak
On Mon, Nov 30, 2015 at 12:48 PM, DB Tsai wrote:
> The workaround is have your code in the same package, or write som
The workaround is have your code in the same package, or write some
utility wrapper in the same package so you can use them in your code.
Mostly we implement those BLAS for our own need, and we don't have
general use-case in mind. As a result, if we open them up prematurely,
it will add our api mai
Hello
I'm developing a Spark package that manipulates Vector and Matrix for machine
learning.
This package uses mllib.linalg.Vector and mllib.linalg.Matrix in order to
achieve compatible interface to mllib itself. But mllib.linalg.BLAS module is
private inside spark package. We cannot use BLAS
