vect = CountVectorizer()
tfidf = TfidfTransformer()
clf = SGDClassifier()

vx = vect.fit_transform(X_train)
tfidfx = tfidf.fit_transform(vx)
predicted = clf.fit_predict(tfidf)

#Evaluate on text
vx = vect.transform(X_test)
tfidf = tfidf.transform(vx)
predicted = clf.predict(tfidfX)