Hi Lars,
I'm sorry but I'm not quite able to get you. Do you mean logistic
Regression itself would handle the multi-output case, instead of the one vs
All it does now?
On Fri, Mar 7, 2014 at 3:35 PM, Vlad Niculae <zephy...@gmail.com> wrote:
> In some cases it might be preferable to fit an OvA model. In those
> cases, I think the
> user code would look nicer and more explicit if it'd use the
> sklearn.multiclass.OneVsRest encoder.
>
> The downside is that we'll need to go through an ugly deprecation cycle
> for a major class in the library.
> With the long term in mind I agree with Lars.
>
> My 2c,
> Vlad
>
> On Fri Mar 7 10:54:19 2014, Lars Buitinck wrote:
> > 2014-03-06 18:41 GMT+01:00 Manoj Kumar <manojkumarsivaraj...@gmail.com>:
> >> I have prepared a wiki page for the first draft of my GSoC proposal
> after
> >> several discussions. Please do have a look and provide me feedback.
> >>
> https://github.com/scikit-learn/scikit-learn/wiki/GSoC-2014-Application:-Improved-Linear-Models
> >
> > Technical question: do we need separate LR and multinomial LR? If CD
> > can fit multinomial LR instead of OvA LR, then I'm +1 on merging
> > MultinomialRegressionCV and LogisticRegressionCV. That may leave more
> > time for niceties like documentation :)
> >
> >
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--
Regards,
Manoj Kumar,
Mech Undergrad
http://manojbits.wordpress.com
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