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  1. Pipeline = Pipeline([
  2. (‘vect’, CountVectorizer()),
  3. (‘tfidf’,Tfidftransformer()),
  4. (‘clf’,SGDClassifier()),
  5. ])
  6.  
  7. Predicted= pipeline.fit(X_train).predict(X_train)
  8. #Evaluate all steps on Test
  9. Predicted = pipeline.predict(X_test)
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