hi,

did you try SVR ? eventually setting epsilon to 0.?

if it's too slow have a look at lightning new LinearSVR estimator.

Alex




On Sat, Jan 11, 2014 at 7:28 PM, florian.wilh...@gmail.com <
florian.wilh...@gmail.com> wrote:

> Hi,
>
> at Blue Yonder we often use Scikit-Learn but are sometimes missing
> more robust regression methods that are not based on the L2 norm.
> So far I only knew Theil-Sen as a linear regression method with only a
> single explanatory variable. The work of Xin Dang, Hanxiang Peng,
> Xueqin Wang and Heping Zhang extend the method to n explanatory
> variables. So it should perfectly fit into the sklearn.linear_model
> subpackage I think. Where is the line drawn between functionality that
> should go into StatsModels and into Scikit-Learn with respect to
> regression methods?
>
> Florian
>
> On 10 January 2014 19:18, Skipper Seabold <jsseab...@gmail.com> wrote:
> > Hi,
> >
> > There have been some implementations of Theil-Sen floating around for
> inclusion in statsmodels, but no PRs yet. IMO it might fit in a little
> better in statsmodels.robust than sklearn unless their are some aspects of
> Theil-Sen I'm not familiar with.
> >
> > Skipper
> >
> > Sent from my mobile
> >
> >> On Jan 10, 2014, at 12:16 PM, "florian.wilh...@gmail.com" <
> florian.wilh...@gmail.com> wrote:
> >>
> >> Hi,
> >>
> >> I'd like to add a Theil-Sen estimator for a multiple linear regression
> >> problem to Scikit-Learn as described in the paper:
> >> http://home.olemiss.edu/~xdang/papers/MTSE.pdf
> >> Is anyone already working on this or are there any objections
> >> regarding the inclusion of a Theil-Sen estimator into Scikit-Learn?
> >>
> >> Best regards,
> >>
> >> Florian Wilhelm
> >>
> >>
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