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From Pat Ferrel <...@occamsmachete.com>
Subject Re: Mahout Samsara & DASE
Date Fri, 20 Jan 2017 18:12:15 GMT
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
<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/
<http://predictionio.incubator.apache.org/system/>  and comparing with Samsara's features
at http://mahout.apache.org/ <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
<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/
<http://predictionio.incubator.apache.org/customize/dase/> ) ?

Thanks

Gustavo Frederico



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