Does N mean n_samples and p n_features? What about number of targets, is it 1 
everywhere?

On May 29, 2012, at 13:45 , Immanuel B wrote:

> Hey,
> 
> stuff is now on the following wiki page:
> https://github.com/scikit-learn/scikit-learn/wiki/Coordinated-descent-in-linear-models-project-discussion,-summer-2012
> 
> Immanuel
> 
> 2012/5/28 Immanuel <[email protected]>:
>> Hi,
>> the doc should now be editable for everyone using the provided link.
>> Blog post and the wiki page will follow shortly. Is there a preferred place
>> for
>> the wiki page?
>> 
>> @Vlad I'm going to have a look at your repo and the skript right away.
>> Correlation
>> work on linear models sounds great and the time line seems reasonable to me.
>> 
>> Immanuel
>> 
>> 
>> 
>> On 05/28/2012 02:20 PM, Alexandre Gramfort wrote:
>> 
>> hi,
>> 
>> Immanuel can you share the doc with me so I can edit to provide inline
>> comments?
>> 
>> A wiki page on github would do the job too. You could copy there your
>> proposal with timeline and add the related questions for each step.
>> 
>> Alex
>> 
>> On Mon, May 28, 2012 at 1:11 PM, Vlad Niculae <[email protected]> wrote:
>> 
>> On May 28, 2012, at 13:50 , Immanuel B wrote:
>> 
>> Hello,
>> I could use some feedback on how to best set-up a benchmark for these
>> models:
>>    l2 loss*
>>    log loss*
>>    multi-logit*
>> with l1 and l1 & l2 penalty
>> 
>> Please have a look at the following file:
>> https://docs.google.com/document/d/1VjRCU9xAP0hdeMiEQJwIKumMQTQZXdV1oRL_gh38iE8/edit
>> 
>> @Vlad
>> I'm very interested in your opinion on the data set selection and use of
>> vbench.
>> 
>> Hi Immanuel, great work preparing the report. If you haven't already, blog
>> it. I will tell you my opinion about the datasets in a short while. Also +1
>> for the phrase 'data set selection' (nod towards JMLG)
>> 
>> Did you check out the vbench repo that I started? I think it fits our
>> purposes, but it is a little bit overkill and also the code-as-string design
>> could use improvement. An alternative could be the unladen-swallow benchmark
>> script
>> http://code.google.com/p/unladen-swallow/wiki/Benchmarks
>> 
>> but I haven't had the time to look into it yet.
>> 
>> I am only starting serious work today -- I've been in a trip to Istanbul for
>> the LREC conference last week and traveling by train got me tired. We can
>> correlate the work on linear models and hope to have running benchmarks in 2
>> weeks for now. How does this sound?
>> 
>> best,
>> Immanuel
>> 
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>> ------------------
>> Vlad N.
>> http://vene.ro
>> 
>> 
>> 
>> 
>> 
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> 
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------------------
Vlad N.
http://vene.ro





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