How do I store a TfidfVectorizer for future use in scikit-learn?

Question

I have a TfidfVectorizer that vectorizes collection of articles followed by feature selection.

vectroizer = TfidfVectorizer()
X_train = vectroiz         


        

Answer 1

Here is my answer using joblib:

joblib.dump(vectorizer, 'vectroizer.pkl')
joblib.dump(selector, 'selector.pkl')

Later, I can load it and ready to go:

vectorizer = joblib.load('vectorizer.pkl')
selector = joblib.load('selector.pkl')

test = selector.trasnform(vectorizer.transform(['this is test']))