Hi,

We refer to such a setting as *multi-label*.  Please take a look at
http://scikit-learn.org/stable/modules/multiclass.html

Yours,
Vlad

On Sun, Oct 20, 2013 at 1:19 PM, Mahendra Kariya
<geek3142-skle...@yahoo.co.in> wrote:
> Hi,
>
> I am trying to do multi class classification using NB or linear SVM. In the
> training data, each data item has 1 to 5 labels. So the data looks something
> like below.
>
> X                     Y
> -------------        --------------------------------------
> lorem ipsum 1        label1, label2, label3
> lorem ipsum 2        label1, label3, label6, label2, label4
> lorem ipsum 3        label2, label8
> lorem ipsum 4        label4
>
> In most of the classifiers, expected shape of y (for fit(X,y) function) is
> [n,1] where n is the size of dataset.
>
> Is there any workaround to train and predict this kind of data?
>
>
>
> Regards,
> Mahendra Kariya
>
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