> When running linear_model.Lars I get the following error.
>
> C:\Python27\lib\site-packages\sklearn\linear_model\least_angle.py:237:
> RuntimeWa
> rning: invalid value encountered in divide
>z = -coefs[n_iter, active] / least_squares
should be fixed in master:
https://github.com/scikit-lear
When running linear_model.Lars I get the following error.
C:\Python27\lib\site-packages\sklearn\linear_model\least_angle.py:237:
RuntimeWa
rning: invalid value encountered in divide
z = -coefs[n_iter, active] / least_squares
The script still runs, and I get coefficents and an intercept.
Als
2012/7/29 Olivier Grisel :
> 2012/7/29 JAGANADH G :
>> Is there any support for string kernal + svm in scikit-learn
>
> Nope but if you can store the complete pairwise kernel matrix of your
> dataset you can use the kernel='precomputed' option of SVC, NuSVC, SVR
> and NuSVR.
>
> In that case you ca
New and improved, now with a quick start guide, profiler output and the
scikit-learn theme!
http://blog.vene.ro/2012/07/27/profiler-output-benchmark-standard-deviation-and-other-goodies-in-scikit-learn-speed/
Also, Olivier lent me a huge hand today and the Jenkins build is almost set up!
The te
2012/7/29 JAGANADH G :
> Hi
> Is there any support for string kernal + svm in scikit-learn
Nope but if you can store the complete pairwise kernel matrix of your
dataset you can use the kernel='precomputed' option of SVC, NuSVC, SVR
and NuSVR.
In that case you can use any python function that comp
Hi
Is there any support for string kernal + svm in scikit-learn
Best regards
--
**
JAGANADH G
http://jaganadhg.in
*ILUGCBE*
http://ilugcbe.org.in
--
Live Security Virtual Conference
Exclus
you can also look at
http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html#sklearn.linear_model.Lars
which, as stepwise regression, cannot discard features as soon as they
are selected.
Alex
On Sun, Jul 29, 2012 at 12:32 AM, Olivier Grisel
wrote:
> 2012/7/28 Zach Bast
