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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