Hi Pypers,
Hope you are doing well.
I am doing multi label classification in which my X and Y are sparse
matrices with Y properly binarized.
Though my Y has multi-labels properly binarized, I am getting the following
error:
Value Error: Multioutput target data is not supported with label binarization
The Classifier I am using is as follows:
Classifier =
OneVsRestClassifier(SGDClassifier(random_state=0,loss='log',alpha=0.00001,penalty='elasticnet')).fit(Finaldata,y)
Let me know in what are the ways this can be resolved. Should I make
any upstream changes?
Regards,
Sanant
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