oh..but I want to run the below. The reason why I want to pickle. I do picke the output of vec.fit though. So, I just want to load up a saved vec pickle and create an array based on the fit so I can score a svm model.
vectorizer.transform(utterance).toarray() On Wed, Aug 8, 2012 at 9:25 PM, Philipp Singer <[email protected]> wrote: > Am 08.08.2012 14:53, schrieb David Montgomery: >> >> So...does it make sense to pickel CountVectorizer? I just did not >> want to fit CountVectorizer every time I wanted to score a svm model. >> >> > It makes sense to pickle the fitted Vectorizer. In this case you are > just trying to pickle the plain object. > > Regards, > Philipp > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
