小编use*_*002的帖子

text_clf = Pipeline([('vect',CountVectorizer(decode_error='ignore')),
                      ('tfidf',TfidfTransformer()),
                      ('clf',SGDClassifier(loss = 'hinge',penalty = 'elasticnet',alpha = 1e-3,n_iter = 10, random_state = 40))])

text_clf = text_clf.fit(trainDocs+valDocs,np.array(trainLabels+valLabels))
predicted = text_clf.predict_proba(testDocs)

如何获得每个测试样本的预测概率？谢谢！