Gael,
I didn't realize the release was tomorrow already! I'm sorry I didn't
bring this up earlier. If it can't happen before the release, I
understand and that's fine.
The doc-test thing might be an issue, since it involves working with
some of the data files. I know Olivier's tutorial did a better job of
separating doc-test-worthy code from other example code; I didn't do
that as well as he.
Jake
Gael Varoquaux wrote:
> I'll review it. The release is tomorrow and Andy and I are starting to
> feel quite tired after a full on week end. So I don't expect to be able
> to do too many changes (tomorrow I must actually do some work).
>
> Maybe we can merge in a version with a few TODO items remaining, and
> we'll tackle these items afterward. The tasks that you mention don't
> sound as blockers for me, as long as the tutorial is well doc-tested and
> doesn't download heaps of data in the doc-tests.
>
> Gael
>
> On Sun, May 06, 2012 at 11:19:20AM -0700, Jacob VanderPlas wrote:
>
>> Hi all,
>> I would love to get the astronomy tutorial [1] merged in time for the
>> next release. It's basically ready to go, aside from some typos (my
>> favorite of which is the heading "Setup and Inspiration" in place of
>> "Setup and Installation"). There are a couple larger tasks that remain:
>>
>
>
>> - make sure the tutorial plays nice with the ones that have already
>> been merged (there is some duplicate information, especially in the
>> earlier chapters) Also there are several figures in common between the
>> tutorials.
>> - I load some datasets from the web directly within the example files:
>> these `fetch_*` routines might need to be moved into sklearn/datasets
>> for consistency (with some better comments).
>>
>
>
>> Other than that, I think it's basically ready to go. I'm hoping to give
>> a scikit-learn tutorial based on this material at Scipy in July, so it
>> would be really nice to have it included in the upcoming release. The
>> problem is, I am completely swamped with the final months of my PhD and
>> several other deadlines, and won't have the time to put sufficient
>> energy into this in the near future. Is there anyone out there who can
>> tackle this? I'd be very grateful...
>>
>
>
>> Thanks!
>> Jake
>>
>
>
>> [1] https://github.com/jakevdp/scikit-learn/tree/sklearn-tutorial
>>
>
>
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