Hey Manoj.
I agree that the description is vague.
I think what Vlad was trying to say that refurbishing only makes sense
if it comes with long-time support by an active user.
Basically, "refurbishing" means
- have a simple and sklearn-consistent interface
- be numerically stable, reliable and repeatable
- serve all feasible major usecases
- be easy to apply to the problems that people have in practice
While you could certainly do the first, and probably the second given
some familiarity,
doing the last two is hard if you are not using the method actively in
your day-to-day data mangling.
And even if the implementation was refurbished, but you are not around
afterwards, it is not clear who will be able
to maintain it.
I don't think implementing coresets is a good idea, because it is mostly
helpful for cluster computing afaik.
Also, it adds more abstractions on top of a suboptimal interface and
implementation.
Additionally, I would really like to limit the number of additional
estimators before 1.0.
If you feel up to the task of really making this a great implementation,
and also taking care of it in the long run,
please go ahead with the proposal. But I think that might be a bit much
to ask for a GSoC.
Cheers,
Andy
ps: only my opinion ;)
On 01/18/2014 08:30 PM, Manoj Kumar wrote:
Hello,
I found this idea "Improving Gaussian Mixture Models" , repeating in
2012 and 2013, so I assumed this to be of real interest to the
scikit-learn community. I have a fundamental knowledge of Gaussian
Models, and the EM algorithm. I would like to take this project
forward as part of GSoC. I took a quick look at the issues tracker,
and I found a number of issues.
I mailed Vlad (since his name was mentioned there as a mentor) and
this is what he had to say
"
Hey Manoj,
I just noticed I'm listed as a possible mentor for that. I think when I
put my name there I was thinking of HMM instead of GMM, oops!
I'm guessing that the module is not really maintained and it would be good
if somebody who is involved with GMMs actively would take it under
their wing.
I guess the point of the GSoC idea that was on there was that somebody
proposed
to do a GSoC project to implement coresets for GMM fitting (there are
two links
there). I have absolutely no experience with this method.
Of course in order to add a major new feature to a suboptimally
maintained model,
some refactoring needed to be listed as well.
Again, my feeling is that this idea came from a potential student and
it isn't a
burning need. What do you think about it?
Best,
Vlad
"
Can someone clearly explain, what the community expects out of such a
project, the project description ("Refurbish the current GMM code to
put it to the scikit's standards") in the wiki page, seems a bit vague
to me.
Thanks.
--
Regards,
Manoj Kumar,
Mech Undergrad
http://manojbits.wordpress.com
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