Re: Pull Requests on github

2015-02-09 Thread fommil
Cool, thanks! Let me know if there are any more core numerical libraries
that you'd like to see to support Spark with optimised natives using a
similar packaging model at netlib-java.

I'm interested in fast random number generation next, and I keep wondering
if anybody would be interested in paying for FPGA or GPU / APU backends for
netlib-java. It would be a *lot* of work but I'd be very interested to talk
to an organisation with such a requirement and I'd be able to do it in less
time than they would internally.
On 10 Feb 2015 04:12, Andrew Ash [via Apache Spark Developers List] 
ml-node+s1001551n10546...@n3.nabble.com wrote:

 Sam, I see your PR was merged -- many thanks for sending it in and getting
 it merged!

 In general for future reference, the most effective way to contribute is
 outlined on this wiki page:
 https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark

 On Mon, Feb 9, 2015 at 1:04 AM, Akhil Das [hidden email]
 http:///user/SendEmail.jtp?type=nodenode=10546i=0
 wrote:

  You can open a Jira issue pointing this PR to get it processed faster.
 :)
 
  Thanks
  Best Regards
 
  On Sat, Feb 7, 2015 at 7:07 AM, fommil [hidden email]
 http:///user/SendEmail.jtp?type=nodenode=10546i=1 wrote:
 
   Hi all,
  
   I'm the author of netlib-java and I noticed that the documentation in
  MLlib
   was out of date and misleading, so I submitted a pull request on
 github
   which will hopefully make things easier for everybody to understand
 the
   benefits of system optimised natives and how to use them :-)
  
 https://github.com/apache/spark/pull/4448
  
   However, it looks like there are a *lot* of outstanding PRs and that
 this
   is
   just a mirror repository.
  
   Will somebody please look at my PR and merge into the canonical source
  (and
   let me know)?
  
   Best regards,
   Sam
  
  
  
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Pull Requests on github

2015-02-08 Thread fommil
Hi all,

I'm the author of netlib-java and I noticed that the documentation in MLlib
was out of date and misleading, so I submitted a pull request on github
which will hopefully make things easier for everybody to understand the
benefits of system optimised natives and how to use them :-)

  https://github.com/apache/spark/pull/4448

However, it looks like there are a *lot* of outstanding PRs and that this is
just a mirror repository.

Will somebody please look at my PR and merge into the canonical source (and
let me know)?

Best regards,
Sam



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[GitHub] spark pull request: [MLLIB-18] [WIP] Adding sparse data support an...

2014-03-11 Thread fommil
Github user fommil commented on the pull request:

https://github.com/apache/spark/pull/117#issuecomment-37353456
  
@mengxr cool :-D


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