And also in LinearSVC with dual=True. The only difference is that the
choice of dual variable is cyclic (with prior permutation) instead of
random.
See this 2008 paper:
http://www.csie.ntu.edu.tw/~cjlin/papers/cddual.pdf
Mathieu
On Sun, Apr 10, 2016 at 9:53 PM, Alexandre Gramfort <
alexandre.gramf...@m4x.org> wrote:
> hi,
>
> sdca is used internally in liblinear so offered by our logreg estimator.
>
> otherwise it's implemented in lightning :
> https://github.com/scikit-learn-contrib/lightning
>
> A
>
>
> On Sat, Apr 9, 2016 at 8:14 PM, Ahmed SaadAliden
> <ahmed.saad.ald...@gmail.com> wrote:
> > Hi,
> >
> > I am thinking about adding SDCA "Stochastic dual coordinate ascent"
> solver
> > to linear_model,
> > The results shows a very nice convergence proprieties comparing to SGD.
> I am
> > wondering if anybody is already working in adding it to scikit ?
> >
> > Thanks,
> > ~Ahmed
> >
> >
> >
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