2012/5/10 JAGANADH G <[email protected]>: > Hi all > > Is there any way to get the TF-IDF value mapped with the word vector in > sklearn. > > I would like to get output like > > w1 -> TF-IDF > w2 -> TF-IDF
TF is sample-dependent but the IDF weights for each feature index are stored as an array attribute named `idf_` on the fitted vectorizer along with the `vocabulary_` that gives you the mapping from words to IDF weights. See the documentation for more details: http://scikit-learn.org/dev/modules/feature_extraction.html#text-feature-extraction -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ 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
