>
> A sneakier (and probably not great) approach would be to have ElasticNet
> itself try calling LinearRegression when alpha is set to 0. In a way,
> that's what a user is asking for by setting alpha to 0 - give me the the
> OLS solution.
>
> Ariel
>
I would rather forbid the user to set alpha to
On Sat, Sep 29, 2012 at 9:39 AM, Olivier Grisel wrote:
> 2012/9/29 Gael Varoquaux :
> > Hey Ariel,
> >
> > On Sat, Sep 29, 2012 at 08:54:46AM -0700, Ariel Rokem wrote:
> >> Sure - here's a minimal example based on what I'm trying to do with
> this (data
> >> at the top, calculations at the bottom)
Hi Gael,
On Sat, Sep 29, 2012 at 9:20 AM, Gael Varoquaux <
[email protected]> wrote:
> Hey Ariel,
>
> On Sat, Sep 29, 2012 at 08:54:46AM -0700, Ariel Rokem wrote:
> > Sure - here's a minimal example based on what I'm trying to do with this
> (data
> > at the top, calculations at the b
2012/9/29 Gael Varoquaux :
>> BTW, while you are reviewing mergeable stuff, I think this one is
>> ready for a green button:
>
>> https://github.com/scikit-learn/scikit-learn/pull/1187
>
> OK, I'll try to review. But I'll have to run soon, to go to celebrate
> @NelleV's birthday :)
Happy birthday
> BTW, while you are reviewing mergeable stuff, I think this one is
> ready for a green button:
> https://github.com/scikit-learn/scikit-learn/pull/1187
OK, I'll try to review. But I'll have to run soon, to go to celebrate
@NelleV's birthday :)
G
2012/9/29 Gael Varoquaux :
> On Sat, Sep 29, 2012 at 06:41:19PM +0200, Olivier Grisel wrote:
>> You do it or shall I do it?
>
> OK, I'll do it.
BTW, while you are reviewing mergeable stuff, I think this one is
ready for a green button:
https://github.com/scikit-learn/scikit-learn/pull/1187
--
O
On Sat, Sep 29, 2012 at 06:41:19PM +0200, Olivier Grisel wrote:
> You do it or shall I do it?
OK, I'll do it.
G
--
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2012/9/29 Gael Varoquaux :
> On Sat, Sep 29, 2012 at 06:39:14PM +0200, Olivier Grisel wrote:
>> I think the user warning could be improved by advising the user to
>> switch to sklearn.linear_model.LinearRegression instead.
>
> +1
You do it or shall I do it?
--
Olivier
http://twitter.com/ogrisel
On Sat, Sep 29, 2012 at 06:39:14PM +0200, Olivier Grisel wrote:
> I think the user warning could be improved by advising the user to
> switch to sklearn.linear_model.LinearRegression instead.
+1
--
How fast is your code?
2012/9/29 Gael Varoquaux :
> Hey Ariel,
>
> On Sat, Sep 29, 2012 at 08:54:46AM -0700, Ariel Rokem wrote:
>> Sure - here's a minimal example based on what I'm trying to do with this
>> (data
>> at the top, calculations at the bottom):
>
>> https://gist.github.com/3804428
>
> I do believe that it's
Hey Ariel,
On Sat, Sep 29, 2012 at 08:54:46AM -0700, Ariel Rokem wrote:
> Sure - here's a minimal example based on what I'm trying to do with this (data
> at the top, calculations at the bottom):
> https://gist.github.com/3804428
I do believe that it's a convergence problem. I have updated your
Hi Gael,
On Thu, Sep 27, 2012 at 10:55 PM, Gael Varoquaux <
[email protected]> wrote:
> On Thu, Sep 27, 2012 at 06:18:45PM -0700, Ariel Rokem wrote:
> > Still, the r-squared between the fit and data is only about 0.95 (that's
> not
> > just 'numerical error', if you mean floating poin
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