I would also like to have a high dim regression data set.
2012/5/31 Vlad Niculae :
>
> On May 31, 2012, at 12:42 , Immanuel B wrote:
>
>>> Does N mean n_samples and p n_features?
>> yes
>>
>>> What about number of targets, is it 1 everywhere?
>> not sure what you mean...
>> The first table contain
On May 31, 2012, at 12:42 , Immanuel B wrote:
>> Does N mean n_samples and p n_features?
> yes
>
>> What about number of targets, is it 1 everywhere?
> not sure what you mean...
> The first table contains binary classification data, in the second table the
> number of classes is given by #class.
> Does N mean n_samples and p n_features?
yes
>What about number of targets, is it 1 everywhere?
not sure what you mean...
The first table contains binary classification data, in the second table the
number of classes is given by #class.
for the regression problem, I belief, the lpsa variable ha
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
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 :
> Hi,
> the doc should now be editable for everyone using the provided link.
> Blog post and the wiki
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
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 wrote:
>
> On May 28
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/1
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 ver
