That does seem like it would be a very worthwhile project - but why was
lightning outside scikit-learn initially? Are some of the algorithms too
cutting edge or not cited enough, or some other reason?
On Tue, Feb 4, 2014 at 10:28 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Tue, Feb 04, 2014 at 09:04:00AM +0100, Alexandre Gramfort wrote:
> > > Alex had provided me a link to this gist,
> > > https://gist.github.com/fabianp/3097107 . Sorry for sounding dumb,
> but is
> > > this one of the "strong rules"?
>
> > yes
>
> http://arxiv.org/pdf/1011.2234
>
> > > And one last question, what about generalized additive models? Would
> that be
> > > a good GSoC project to do?
>
> > I am +0 on this now. I suggested MARS/EARTH as there is already some code
> > which would facilitate success.
>
> I would personnally be more excited about merging in the fast logistic
> regression and SVM from lightning https://github.com/mblondel/lightning.
>
> G
>
>
> ------------------------------------------------------------------------------
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
------------------------------------------------------------------------------
Managing the Performance of Cloud-Based Applications
Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
Read the Whitepaper.
http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
