Filter and Train Naive Bayes

gistfile1.txt

from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline

text_clf = Pipeline([('vect', CountVectorizer()),
                     ('tfidf', TfidfTransformer()),
                      ('clf', MultinomialNB()),
])

text_clf = text_clf.fit(final_data, target)

print("\nDone training.\n")