Hi,
Can you provide a gist of your code as to help you?
The pr 2458 isnt finished yet and there is possibly some quirk cases where
it might fail. However in the branch
https://github.com/arjoly/scikit-learn/commits/sparse-label_binarizer,
I almost finished the label binarizer part.
I can try to find some time to finish the sparse label binarizer if you
want to add sparse output support to the OneVsRestClassifier.
Several hints on how to do it properly has already been suggested in
- https://github.com/scikit-learn/scikit-learn/pull/2458
-
https://github.com/arjoly/scikit-learn/commit/fc18c35047bd14b71862377cc34ad9b0ae9f5b65
Best,
Arnaud
On 24 Mar 2014, at 01:17, Anitha Gollamudi <[email protected]> wrote:
> Hi
>
>
> For a multi-label classification problem, I am using labelBinarizer
> which is giving me memory error. I found a pull request for this
> issue. I am wondering if I can pull it now?
>
> https://github.com/scikit-learn/scikit-learn/pull/2458
>
>
> Also applying to the latest trunk(master), gives me an error. I am not
> sure if I am doing right. Can someone suggest an alternative to using
> LabelBinarizer? (almost a newbie to scikit, so any suggestion welcome)
>
>
> curl https://github.com/scikit-learn/scikit-learn/pull/2458.patch | git am
>
> % Total % Received % Xferd Average Speed Time Time Time Current
> Dload Upload Total Spent Left Speed
> 100 61961 100 61961 0 0 123k 0 --:--:-- --:--:-- --:--:-- 360k
> Applying: Modify label_binarize
> /home/ag68/scikit/scikit-learn/.git/rebase-apply/patch:31: trailing
> whitespace.
> Y = csc_matrix((data, (row, col)), shape = (len(y), len(classes)))
> error: sklearn/preprocessing/label.py: does not match index
> Patch failed at 0001 Modify label_binarize
>
>
> -Anitha
>
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