On Wed, Feb 01, 2017 at 03:32:24PM -0800, Dmitriy Lyubimov wrote:
> Isabel, if i understand it correctly, you are asking whether it makes sense
> add end2end scenarios based on Samsara to current codebase?

Sorry for being fuzzy. The meta question that I'm trying to find an answer for
is if there's something can/ should be done to increase the number of people
that potentially could be assimilated and turned into committers one day. One
specific idea I had on my mind was to make the project easier to use for
beginners, one idea to get that accomplished I had was to focus on end to end
implementations of popular use cases. (Sorry, fairly meta...)


> The answer is, absolutely. Yes it does for both rather isolated issues
> (like computing clusters) and end-2-end scenarios.
> 
> The only problem with end 2 end scenarious is they often difficult to
> demonstrate with batch-oriented coputational system only. That's what
> prediction.io kind of picked on with COO, they included all of data
> ingestion, computation and real time scoring queries.
> 
> But yes, there's, absolutely, tons of value in that. Not everything fits
> quite nicely, and not everything fits end-2-end (just like with R), but
> some fairly significant pieces do fit to be written on top.

Makes sense.


> > Where do we start? ;)
> >
> 
> I would start with figuring a problem I want to solve AND I have a budget
> to do it AND i can legally contribute on behalf of the IP owner.

I guess given the meta explanation above - if increase in contributions was a
goal one could also think about making potential areas of contribution explicit
and highlight the value the project brings compared to other systems with a
specific focus on samsara. That's another angle of me asking weird questions
here.


> Then we can think of whether it is a good fit (Samsara is mostly limited to
> tensor based data only, just like Mapreduce DRM was/is). Some things may
> not have a convenient algebraic formulation.

+1

Isabel

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