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From Suneel Marthi <smar...@apache.org>
Subject Re: Mahout Samsara & DASE
Date Fri, 20 Jan 2017 18:33:03 GMT
As Mahout PMC, I concur with Pat that Samsara backends are flaky excepting
for Spark today.


On Fri, Jan 20, 2017 at 1:12 PM, Pat Ferrel <pat@occamsmachete.com> wrote:

> The Universal Recommender uses Mahout Samsara so yes, of course. See the
> UR template for how to do this “wrapping”.
>
> The core algorithm for Correlated Cross-Occurrence comes from this bit:
> http://mahout.apache.org/users/algorithms/recommender-overview.html
>
> BTW the backend support is spotty for everything but Spark. Some things
> are implemented and some not.
>
>
> On Jan 20, 2017, at 10:07 AM, Gustavo Frederico <
> gustavo.frederico@thinkwrap.com> wrote:
>
>
>   Is it possible to create an engine using Mahout Samsara? I was looking
> at http://predictionio.incubator.apache.org/system/  and comparing with
> Samsara's features at http://mahout.apache.org/ . I can see that Samsara
> runs on distributed Spark, H2O, and Flink. I can see that Spark is a
> binding for Samsara ( http://mahout.apache.org/
> users/sparkbindings/home.html  ). I'm not very familiar with the
> terminology, but would it be a matter of 'wrapping' the Samsara algorithm
> in some class that implements the interfaces described in the DASE page (
> http://predictionio.incubator.apache.org/customize/dase/ ) ?
>
> Thanks
>
> Gustavo Frederico
>
>
>

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