Hi All,
I trained a LinierSVC() classifier for Text Classfication. Total training
set is about 1 Lakh documents (mostly sinle line). The saved model is about
3.5 MB in size.
When I used the model in my python script it takes too much time to preform
the prediction (near to one min to predict took 20 minutes to classify 3000
documents).
My pipleline is
classifier = Pipeline([('vect',vectorizer),('tfidf',transformer), ('clf',
LinearSVC())])
Is there any way to make it faster.
--
**********************************
JAGANADH G
http://jaganadhg.in
*ILUGCBE*
http://ilugcbe.org.in
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