> I am not sure that K-SVD is any better, but one of the other people in
> my group proposed using K-SVD, so I will likely have to implement it.
It's a reference algorithm. I'd sure think that it would be a good
addition.
---
On Wed, Dec 18, 2013 at 12:40 AM, Olivier Grisel
wrote:
> 2013/12/17 James Bergstra :
> > News: Chih-Jen Lin wrote to me a few days ago to let me know that he has
> > created a github project for libsvm.
> >
> > https://github.com/cjlin1/libsvm
>
> \o/
>
>
Wow. A first step for the community shoul
On Tue, Dec 17, 2013 at 9:17 AM, Doug Newman wrote:
>
> So, my question is two-fold: (1) Why this difference? and (2) Would you
> have any recommendations going forward? Is there a better algorithm or
> technique I could read up on that would give me a confidence score on a
> per-prediction basis
Agg -- new conflicts.. still - review's welcome
2013/12/17 Jaques Grobler
> Hi all..
>
> If anybody has some time - I'd really appreciate last reviews on this PR
> for the Text Analysis tutorial. The PR is available here below:
>
> https://github.com/scikit-learn/scikit-learn/pull/1971
>
> Onli
Hi all..
If anybody has some time - I'd really appreciate last reviews on this PR
for the Text Analysis tutorial. The PR is available here below:
https://github.com/scikit-learn/scikit-learn/pull/1971
Online build available here:
http://jaquesgrobler.github.io/online-sklearn-build/documentation
Thank you all for helping out!
Best,
Yuan
On Mon, Dec 16, 2013 at 4:58 PM, Lars Buitinck wrote:
> 2013/12/16 Joel Nothman :
> > In some parts of the codebase, we have near duplicate implementations
> with
> > different names (e.g. classifiers and regressors), but for metrics we
> make
> > impl
2013/12/17 James Bergstra :
> News: Chih-Jen Lin wrote to me a few days ago to let me know that he has
> created a github project for libsvm.
>
> https://github.com/cjlin1/libsvm
\o/
> Anyone want to try a rebase (!?)
That would indeed be great to maintain a fork with our patches in a
regularly
News: Chih-Jen Lin wrote to me a few days ago to let me know that he has
created a github project for libsvm.
https://github.com/cjlin1/libsvm
Anyone want to try a rebase (!?)
--
Rapidly troubleshoot problems before they
I think alpha = 1/2C
On Tue, Dec 17, 2013 at 7:46 PM, Olivier Grisel wrote:
> 2013/12/17 Doug Newman :
> > Hello,
> >
> > I am relatively new to classification problems in machine learning and
> have
> > a somewhat general question regarding the behavior of SGDClassifer with
> > loss='log' as co
Ah - thanks very much for the clarification!
On Thu, Dec 12, 2013 at 9:26 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> > Is there a way for me to access this information (the fitted
> > coefficients for each split)? It's clearly being calculated on each
> > iteration, so I assume
2013/12/17 Doug Newman :
> Hello,
>
> I am relatively new to classification problems in machine learning and have
> a somewhat general question regarding the behavior of SGDClassifer with
> loss='log' as compared to LogisticRegression in the sklearn package.
In theory they are optimizing the same
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