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? Simon On 8 May 2018 at 07:29, Ali Nazemian <alinazem...@gmail.com> 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 @sireb
