Grant,
On 0xdata / H2O front:

We feel very excited at making Apache Mahout the principal platform for
scalable machine learning and are rapidly prototyping an initial
integration with the Matrix API. Ted (apache.org), Cliff Click (
acm.org/0xdata), Anand Avati (Redhat) and Michal Malohava (0xdata) are
heads down on that & making brisk progress. We hope to get the discussions
restarted in the JIRAs and google hangouts as soon as we get past the first
cut .

We also chose to have the first level integration with Mahout will be as a
maven dependency -
That way we can flesh things out without major interruption and the grant
work.

In parallel, several members and teams have been reworking the core
architecture to get a clean separation on the Algorithms & Core, an
in-memory (mr/task) API and a decent client framework with data read/write.
This will allow Apache Mahout and other ML libraries to use Spark,
Stratosphere or other engines for performance and extensibility.

This is the state of the union at the moment -
I'm very enthusiastic at making this a win for the ardent Community of
Machine Learning users and developers.
We are very grateful for the warmth, welcome, attention and impassionate
reviews we received from the Apache community.  Thank you for that.
We should have more to report in the month ahead.

Looking forward, Sri



On Fri, Apr 4, 2014 at 6:44 AM, Grant Ingersoll <gsing...@apache.org> wrote:

> Can someone summarize the 0xData and the Spark work for me for the board
> report?  I've unfortunately been too busy to keep up on the threads on it,
> but need to write the board report for this month.
>
> You can either summarize here or add it to the community section at
> https://svn.apache.org/repos/asf/mahout/pmc/board-reports/2014/board-report-apr.txt
>
> Also, assuming we are going ahead w/ the 0xData stuff, we likely need to
> do a software grant for that.
>
> Thanks,
> Grant
>
> --------------------------------------------
> Grant Ingersoll | @gsingers
> http://www.lucidworks.com
>
>
>
>
>
>


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