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" <[email protected]> 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 <[email protected]> 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 > > >
