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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