On Wed, Nov 9, 2011 at 4:37 AM, Peter Prettenhofer
wrote:
> Unfortunately, I'm not that familiar with "SGD-L1 (Clipped +
> Lazy-Update)" either - I just quickly skimmed over a technical report
> of Bob [1]. I agree with your description: it seems to me that the
> major difference is the fact that
Hi list,
I would like to ask for comments on the forests of randomized trees
pull request that I have been working on for the past few weeks. I
think it is ready for merge.
This pull request is the first in scikit-learn to concern ensemble
methods and includes two important tree-based algorithms
> Just a nitpick: those aren't MNIST digits :) The digits dataset that sklearn
> bundles is some other much lower dimensional thing.
>
> Also, if there's a way to turn off the image smoothing on that slide I'd do
> it (the only way I know of is to use matshow, with fignum=0 to stuff it in a
> su
Just a nitpick: those aren't MNIST digits :) The digits dataset that sklearn
bundles is some other much lower dimensional thing.
Also, if there's a way to turn off the image smoothing on that slide I'd do it
(the only way I know of is to use matshow, with fignum=0 to stuff it in a
subplot). Ri
Hi Gael.
Thanks for all your effords for the sprint!
I hope you have a good time in India.
See you in Spain.
Cheers,
Andy
- Ursprüngliche Mail -
Von: "Gael Varoquaux"
An: scikit-learn-general@lists.sourceforge.net
Gesendet: Freitag, 18. November 2011 01:53:04
Betreff: [Scikit-learn-gener
Sklearn folks,
imho the Right Thing for dense / sparse distances would be to combine
1) cython for L1 L2 Linf( dense, dense )
_distance_p in
http://svn.scipy.org/svn/scipy/trunk/scipy/spatial/ckdtree.pyx
~ 20 lines
2) pure python to expand sparse todense.
I believe -- correct me -- t
Very nice slices,
[nitpicking]
the logo in the upper left side is a bit pixelized, you should use the
svg version which scales more gratefully.
[/nitpicking]
Fabian
On Thu, Nov 17, 2011 at 9:27 PM, Alexandre Gramfort
wrote:
>>> http://dl.dropbox.com/u/2140486/sklearn_gramfort_inria_dec_2011.pdf
On Thu, Nov 17, 2011 at 1:23 AM, SK Sn wrote:
> Hi there,
>
> (This may be a duplication. The same message sent two hours ago seems lost
> by the mailing server, so I resend.)
>
> I experienced abnormal behaviors of RidgeClassifier in context of text
> classification.
>
> Test setup: ~800 document
