Hi Joel,
I've sent this email on friday, but it got stuck on some revision queue
because of the attachment size, so I'm repeating it with a link :P
https://github.com/pignacio/scikit-learn/blob/loo_is_bad_doc/doc/images/cross_validation_comparison.svg
In https://github.com/scikit-learn/scikit-learn/pull/2529, there's an image
that should be stripped from the repository and generated via matplotlib on
doc generation:
https://github.com/pignacio/scikit-learn/blob/loo_is_bad_doc/doc/images/cross_validation_comparison.svg
I'm failing to understand the x-axis meaning, as I could not find
references to regularization in the LogisticRegression docs. If someone
could provide a link/explanation, that would be great.
Once that's settled I'm pretty sure I can write the code to generate the
image using some example dataset.
Thanks
Ignacio
2014-06-25 16:54 GMT-03:00 Joel Nothman <[email protected]>:
> Hi Ignacio,
>
> A good starting place is often working on the documentation. For example,
> https://github.com/scikit-learn/scikit-learn/pull/3084 is an attempt at
> filling in a gap in the documentation, but it doesn't look like Raul is
> going to complete the work any time soon. If you want to pull his branch,
> finish responding to the comments (i.e. fixing up the changes), and create
> a new PR out of it, that would be helpful.
>
> A similarly stalled documentation change is
> https://github.com/scikit-learn/scikit-learn/pull/2529
>
> Also in the space of cross-validation (which I figure is a fairly trivial
> ML idea to understand), but working on code:
> https://github.com/scikit-learn/scikit-learn/issues/2904 is mostly an
> issue of rewriting the cross_validation module to have a different API. As
> suggested by the discussion there, its design may not be trivial, but it
> would be very valuable to see a first attempt at the rewrite.
> https://github.com/scikit-learn/scikit-learn/issues/1848 is similarly
> mostly about moving things around, and it will help making a clean change
> together with #2904. You should make sure you have read the contributing
> guidelines and are familiar with the deprecation procedures for either of
> these restructure tasks.
>
> Is that along the lines of the sort of things you would like to start on?
>
> Joel
>
> On 25 June 2014 14:56, Ignacio Rossi <[email protected]> wrote:
>
>> Hello,
>>
>> Today I dropped by the freenode channel, but no one was around at the
>> time, so I'm relaying my message here, thanks for reading :)
>>
>> I’m a math undergraduate who works as a python developer. I’m
>> currently between jobs, so I have one month worth of spare time and i was
>> thinking about learning ML and contributing to the project during that time
>> I’ve peeked the issue tracker (the easy tag), but I might need some
>> guidance on where to start. I don't know much about ML yet - taking the
>> course on coursera, but wishing to contribute some code in the meantime
>>
>> Any suggestions regarding learning/contributing will be appreciated
>>
>> Thanks
>>
>> Ignacio
>>
>>
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Quickly connect people, data, and systems into organized workflows
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http://p.sf.net/sfu/Bonitasoft
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