Hi Michael.
Thanks for getting back.
As I just started working on a kaggle submission, I implemented some new
features and bugfixes for that
and I'll probably be working on those in the next couple of days.
So get your hopes up to much.
I think the new submission system somehow lets you subscribe to a given
issue but I don't see how.
You can just leave a random comment there, that will put you on the
notification list.
Cheers,
Andy
On 08/13/2012 07:52 PM, Michael Waskom wrote:
Hi Andreas,
I doubt I could be of great use on the algorithm itself, but I'm happy
to help out with example(s) when it's up and running. I'll keep an
eye on the PR (Is there a way to "watch" a specific issue on github?),
or feel free to ping me when the tests are looking good.
Cheers,
Michael
On Wed, Aug 8, 2012 at 11:53 AM, Andreas Mueller
<amuel...@ais.uni-bonn.de <mailto:amuel...@ais.uni-bonn.de>> wrote:
Hi Michael.
Actually that one is on my priority list. But my priority list is
long ;)
Any help is always welcome.
Andy
On 08/08/2012 07:41 PM, Michael Waskom wrote:
Hi,
Do you think multinomial logit via SGD (GH849
https://github.com/scikit-learn/scikit-learn/pull/849) will make
it into 0.12? This pull request seems to have stalled, but would
be very nice to have!
Best,
Michael
On Wed, Aug 1, 2012 at 6:52 AM, Gael Varoquaux
<gael.varoqu...@normalesup.org
<mailto:gael.varoqu...@normalesup.org>> wrote:
On Wed, Aug 01, 2012 at 02:35:29PM +0200, Andreas Müller wrote:
> Soon it is time for a new release. I notices some people
are going on holiday (I think Lars and Gilles),
> so maybe it would be good for wait them to be back.
> Therefore I'd suggest releasing at the end of August.
> Any opinions?
Sounds good.
> My wish list looks like this (from more realistic to less
realistic):
> - Precomputed and Callable kernels for sparse SVM #920
> - what used to be the fit_pairwise proposal, now gives more
unified API for clustering #803
I should review that. Sorry, I've been busy elsewhere.
My personal wishlist is a new release of joblib (a few minor
things),
helping other people out with their PR (I'd like to see
multitask lasso
in :}), and fixing bugs/improving codebase!
G
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