[mailto:t.rebo...@gmail.com]
Sent: Thursday, June 18, 2015 10:44 AM
To: Akhil Das
Cc: user@spark.apache.org
Subject: Re: Machine Learning on GraphX
Thanks for the quick answer.
I've already followed this tutorial but it doesn't use GraphX at all. My goal
would be to work directly on the
I guess that belief propagation could help here (at least, I find the ideas
enough similar), thus this article might be a good start :
http://arxiv.org/pdf/1004.1003.pdf
(it's on my todo list, hence cannot really help further ^^)
On Thu, Jun 18, 2015 at 11:44 AM Timothée Rebours
wrote:
> Thanks
Thanks for the quick answer.
I've already followed this tutorial but it doesn't use GraphX at all. My
goal would be to work directly on the graph, and not extracting edges and
vertices from the graph as standard RDDs and then work on that with the
standard MLlib's ALS, which has no interest. That's
This might give you a good start
http://ampcamp.berkeley.edu/big-data-mini-course/movie-recommendation-with-mllib.html
its a bit old though.
Thanks
Best Regards
On Thu, Jun 18, 2015 at 2:33 PM, texol wrote:
> Hi,
>
> I'm new to GraphX and I'd like to use Machine Learning algorithms on top of
>
