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From Shekar Tippur <ctip...@gmail.com>
Subject Re: Using Samoa/Samza to perform root cause analysis
Date Mon, 02 Feb 2015 15:54:20 GMT
Gianmarco

I am trying to get over the initial teething issues.
Can you please give me initial pointers on how to frame it as a
classification problem?
Also, how do I feed training data to the model?
Appreciate your help.

Shekar
 On Feb 2, 2015 3:31 AM, "Gianmarco De Francisci Morales" <gdfm@apache.org>
wrote:

> Hi Shekar,
>
> I am not sure whether it is a typical use case.
> If you can frame it into a classification problem, then yes SAMOA can help
> you.
>
> I am not aware that it has been done, but I am not familiar with the area.
>
> If you want to apply supervised ML, you need to decide which features you
> want to extract and how to get training data.
>
> Cheers,
>
>
> --
> Gianmarco
>
> On 27 January 2015 at 23:44, Shekar Tippur <ctippur@gmail.com> wrote:
>
> > Gianmarco,
> >
> > Thanks for pointing me to the right email group to address any questions
> on
> > Samoa.
> >
> > My name is Shekar.
> > I am working on a solution to enrich events (mainly alerts) going into
> > operation centre. We have data on
> > 1. Prior postmortem results
> > 2. Data on best practices.
> > 3. Data on typical root cause on the web (like null pointer exception,
> Out
> > of memory.. etc)
> >
> > I want to enrich each event (alert) with possible root cause from these
> > sources.
> >
> > Had couple of questions:
> > 1. Is this a typical use case for Samoa?
> > 2. Any idea if this has been done before?
> >
> > I want to apply ML to the incoming events and learn from it.
> >
> > Appreciate any pointers.
> >
> > - Shekar
> >
>

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