On 03/22/2012 11:23 AM, Gael Varoquaux wrote:
> On Thu, Mar 22, 2012 at 09:56:31AM +0000, Conrad Lee wrote:
>    
>> I puzzled over this for a while but didn't find a way to make this work
>> with the pipeline.  The problem seems to be that I don't want to perform
>> two steps sequentially.  That is, I don't first want to do the recursive
>> feature elimination, and then with that reduced set of features find the
>> best value of C for regularization.  The problem with this is that the
>> recursive feature elimination already depends on the value of C.  So I want
>> the search for the right value of C to take place within the recursive
>> feature elimination, not after it.
>>      
> OK, I hadn't understood your problem.
>
> I think that the answer to this problem is to give to the REFCV as an
> 'estimator' parameter an GridSearchCV object that tunes the SVC. Would
> that make sens?
>
>    
Ha, that is much better than my "solution" ^^

------------------------------------------------------------------------------
This SF email is sponsosred by:
Try Windows Azure free for 90 days Click Here 
http://p.sf.net/sfu/sfd2d-msazure
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to