2012/2/3 Andreas <[email protected]>:
> Hi Harsh.
> Thank you for your interest.
> There was a thread on this theme on the list before:
> http://sourceforge.net/mailarchive/forum.php?thread_name=CAOKSrLzaX4COZmD-GGD7GeKE%2BgfpWw4z8%3DMXZkzAxvfjrA_B2Q%40mail.gmail.com&forum_name=scikit-learn-general
> There is an entry in the wiki but that is still empty.
>
> I think improvements to the semi-supervised or online modules,
> as well as averaging classifiers are definitely possible.
>
> You might want to familiarize yourself with the codebase, for example
> by working on the issues, prior to application.
>
> I'm sure other people will have more informative things to say on this
> topic ;)

Help is always appreciated in reviewing others people work too,
especially when the pull request title is prefixed with the "MRG"
keyword:

  https://github.com/scikit-learn/scikit-learn/pulls

git fetch and checkout the branch, run the tests locally, run the
examples, read the code and check the reference papers, build the doc
and and check that it is complete with references to external papers
and internal related chapter and examples, check that the code follows
the API and naming conventions of the scikit, ask for clarifications
on parts of the code that you don't understand and so on.

The check list for contributions is here:
http://scikit-learn.org/dev/developers/index.html#contributing-code

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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