On Thu, Aug 15, 2013 at 7:42 AM, Shishir Pandey <[email protected]>wrote:
> I might have conveyed the wrong thing here. I am using version 0.14.1 of
> sklearn. I have a multiple output problem. I am using the yeast dataset.
> The input x is a protein (103 dim vector) and the output are the
> different functions it performs (characteristic vector for 14
> functions). So I am looking for a classifier which gives a one-zero
> classification for each of the 14 functions.
>
>
If I understand you correctly, you're trying to do multilabel
classification by converting the problem to a multitask binary
classification problem. Unfortunately, no classifier in scikit-learn can
accept an output matrix. You need to solve each task independently by
fitting a classifier with a column (i.e., a vector, not a matrix) of your
output matrix.
Note that this is exactly what OneVsRestClassifier does automatically for
you.
HTH,
M.
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