This is confusing to me too. I wanted to copy it for the OMP CV, but it seems 
overly complicated. 

Vlad

On Aug 20, 2012, at 17:19 , Andreas Müller <[email protected]> wrote:

> Hi Alex.
> Thanks for the answer. So it estimates ``n_nonzero_coefs``.
> As far as I can see, you can not get this from the fitted LarsCV
> extimator.
> As Lars is forward stepwise without any regularization as I understand,
> I don't see what the alpha parameter that is returned does.
> 
> So basically I'm a bit confused by the interface.
> I could dig into the code but I thought someone might explain it...
> 
> Cheers,
> Andy
> 
> 
> ----- Ursprüngliche Mail -----
> Von: "Alexandre Gramfort" <[email protected]>
> An: [email protected]
> Gesendet: Montag, 20. August 2012 15:20:04
> Betreff: Re: [Scikit-learn-general] What does LarsCV do?
> 
> hi Andy,
> 
> Lars is a forward feature selection technique. The parameter to cross-validate
> is the number of used features (like in OrthogonalMatchingPursuit btw)
> LarsCV should (in principle) estimate it.
> 
> Alex
> 
> On Sat, Aug 18, 2012 at 9:27 PM, Andreas Mueller
> <[email protected]> wrote:
>> Hi everybody.
>> I was just trying to understand LarsCV. I am not so familiar with
>> the linear models so this might be a stupid question.
>> What parameter of Lars does LarsCV actually cross-validate?
>> It seems to me like the only important parameter of Lars is n_nonzero_coefs,
>> but I don't see how this can be obtained from LarsCV.
>> What am I missing?
>> 
>> Best,
>> Andy
>> 
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------------------
Vlad N.
http://vene.ro





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