Thanks Vlad. I will take a look at the link and get back to this awesome
community in case of any more questions.
Regards,
Mahendra Kariya
On Sunday, 20 October 2013 5:10 PM, Vlad Niculae <[email protected]> wrote:
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
><[email protected]> 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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