Csr matrix (scikit-learn svm.SVC coef_ attribute) -

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i have sklearn.svm.svc object , train data. need first n values of 

v = tfidfvectorizer() train_data = v.fit_transform(data) clf2 = svc(kernel='linear') clf2.fit(train_data, train_target) print clf.coef_

in order valuable words in set, need absolute values of clf2.coef_ sparse matrix. how can first n words absolute values?


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