Le 16 mars 2012 15:29, Andreas Müller <[email protected]> a écrit :
> On 03/16/2012 11:12 PM, James Bergstra wrote:
>> I was also recently bit by this scale_C business. It looks like the
>> decision to make scale_C=True the un-changeable default has already
>> been made, but when this is done *PLEASE* make this abundantly clear
>> in the documentation... my understanding was that the C in the SVM
>> equation means the thing that Ian referred to, and which libSVM uses,
>> and shogun, etc... rather than this  "conveniently scaled"
>> alternative.  Maybe this new parameter should be renamed to something
>> other than "C" so that SVC(C=foo) fails rather than computes a
>> surprising thing?  Anyway, I'm sure this is off-topic, but if someone
>> could point me to a more appropriate discussion thread I'd appreciate
>> it.
>
>
> Hi James.
> There was some discussion on this going on pretty invisible here:
> https://github.com/scikit-learn/scikit-learn/commit/b3839837cf949db8e9122807578ebce6bf3d6fb4#commitcomment-1022876
>
> Maybe we should open an issue on this?
> Alex wanted to change the default behavior for "C".
> I'm not sure if this will actually make everything ok again ;)
> (Also I'm not sure if this was maybe already merged?)
>
> I have to say that I am also not entirely happy with this step
> but changing the API _again_ would be ... well... pretty
> unfortunate.

AFAIK the new "scale_C=true" by default has not been released yet.

I agree, that using C for a scaled regularizer parameter is misleading
for people who are familiar with the libsvm and liblinear convention.
That's why I proposed to rename it use "alpha" instead of C to be
consistent with the other regularized models of the project (and esp.
linear models such as RidgeRegression, SGDClassifier, ElasticNet,
LassoLars and friends).

-- 
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel

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