Hi Thomas.
Thank you for your interest in contributing.
The easy fix issues are definitely the place to start.
There are also places where the documentation would
need improvement but that might be harder.

I suggest looking in particular at these issues:
Renaming the clusting parameter to be consistent across estimators:
https://github.com/scikit-learn/scikit-learn/issues/844

One-vs-Rest multi-class not robust to on class being always present:
https://github.com/scikit-learn/scikit-learn/issues/559

Probabilistic PCA code cleanup (and debugging?)
https://github.com/scikit-learn/scikit-learn/issues/746

Simplify sparse examples
https://github.com/scikit-learn/scikit-learn/issues/680

Cheers,
Andy

On 05/10/2012 04:55 AM, Thomas Dziedzic wrote:
> My name is Thomas Dziedzic,
>
> I mainly contribute as an archlinux dev, but I am seeking a new
> project to start contributing to and one project that I have grown to
> like over time is scikit-learn.
> I'm wondering if anyone has any suggestions/tips on how to get started.
> I'm initially looking for small coding/documenting/testing project
> ideas to work on to get accustomed to the project and to see if I
> would like to continue working on the project.
> I have looked over some of the easy-fix ideas, but I would like to
> hear what others have to say first.
>
> Thanks in advance!
>
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