On Wed, 22 Apr 2015 11:33:30 -0500, Ole Ersoy wrote:
On Mon, Apr 20, 2015 at 6:05 PM Phil Steitz <phil.ste...@gmail.com>
wrote:
There are lots of ways to allow distributed processes to share
common data. Spark has a very nice construct called a Resilient
Distributed Dataset (RDD) designed for exactly this purpose.
Are there any examples of a class in commons math where threads have
to share the data structure?
It's the case for the only example that was mentioned in this thread
with sufficient level of details so as to permit concrete statements:
it's the SOFM implementation (in package "o.a.c.m.ml.neuralnet.sofm").
The shared structure is the "Network" instance.
I've only read the "Spark" examples. I assume that an alternate
version of "KohonenTrainingTask" would follow the "logistic
regression" example (IIUC).
But isn't that going to create a dependency towards Spark???
Regards,
Gilles
Cheers,
- Ole
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