2012/9/11 Dimitrios Pritsos :
>
> Thank you very much Olivier.
>
> Yes I ve seen the api ref, however, I ve seen the svm.sparse folder in
> the git, too. And I was confused.
It's just to preserver backward compatibility for a couple of
versions. You should get a deprecation warning if you use this
Thank you very much Olivier.
Yes I ve seen the api ref, however, I ve seen the svm.sparse folder in
the git, too. And I was confused.
Best Regards,
Dimitrios
On 09/11/2012 01:30 PM, Olivier Grisel wrote:
> 2012/9/11 Dimitrios Pritsos :
>> Hello,
>>
>> Could you please tell me how sklearn tre
2012/9/11 Dimitrios Pritsos :
> Hello,
>
> Could you please tell me how sklearn treats sparse matrices when one is
> using SVM API in the latest fromGithub version. In previous version
> there was a .sparse, which it is still there, however it has been
> removed from the 0.12 API Ref. Should I trea
Hello,
Could you please tell me how sklearn treats sparse matrices when one is
using SVM API in the latest fromGithub version. In previous version
there was a .sparse, which it is still there, however it has been
removed from the 0.12 API Ref. Should I treat my sparse matrices, using
the old s
2012/9/11 Olivier Grisel :
>
> I will open an issue to track this.
Done:
https://github.com/scikit-learn/scikit-learn/issues/1137
--
Olivier
http://twitter.com/ogrisel - http://github.com/ogrisel
--
Live Security Virtu
2012/9/11 Olivier Grisel :
>
> Anyway this simulation is probably not representative of your scenario
> as integers can be unboxed in the array datastructure hence the copy
> while string objects cannot and the array will only store references
> to the original string objects.
Actually I was wrong
> Well you still have the original x in memory so you should at least
> expect a doubling of the memory. The remaining memory might be
> temporary stuff allocated during the conversion although that seems
> weird. You can add:
>
> del x
> import gc
> gc.collect()
>
> Anyway this simulation is prob
2012/9/11 Christian Jauvin :
> Hi,
>
> I'm working on a text classification problem, and the strategy I'm
> currently studying is based on this example:
>
> http://scikit-learn.org/dev/auto_examples/grid_search_text_feature_extraction.html
>
> When I replace the data component by my own, I have fou
