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From Simon Elliston Ball <>
Subject Re: Streaming Machine Learning use case
Date Tue, 08 May 2018 12:56:29 GMT
Do you mean Apache SAMOA? I'm not sure of the status of that project, and
it doesn't look particularly lively (last real activity on the lists was 2
months ago, last commits, 7 months ago).

That said, there seem to be some interesting algorithms implemented in
there. The VHT algorithm and the clustering may be relevant, though we have
other efficient means of streaming clustering already in Metron. I would
also argue that we'd be better off looking at algorithms in Spark for
things like frequent pattern mining, though there the FP growth algorithm
is of course primarily a batch implementation.

Are there any SAMOA algorithms in particular that you think would be
relevant to Metron use cases?


On 8 May 2018 at 07:29, Ali Nazemian <> wrote:

> Hi all,
> I was wondering if someone has used Metron with any streaming ML framework
> such as SAMOA? I know that Metron provides Machine Learning separately via
> MAAS. However, it is hard to manage it from operational perspective
> especially if we want to have a pretty dynamic and evolving model. SAMOA
> seems to be a very slow project (or maybe even dead). However, it looks
> very close from the integration point of view with Metron, so I wanted to
> see if anyone had tried SAMOA in practice and especially with Metron use
> cases.
> Regards,
> Ali

simon elliston ball

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