Speaking without actually looking into this, I would say that a -1 norm doesn't make good sense. If the default value of the norm exponent changed to -1, it would wreak various kinds of havoc and would be a Bad Thing(tm).
However, regardless of that, since I haven't looked at the code in question my comment has a kind of low chance of being on target. It is just that what you said does sound very plausible. On Wed, Jul 11, 2012 at 3:14 PM, Joshi, Shrinivas <[email protected]>wrote: > ... Basically, with the current trunk and with the norm value of -1.0f > (which is what gets passed to > DictionaryVectorizer.createTermFrequencyVectors method in case processIdf > Boolean is true) I see no difference in the size of tf-vectors and tf-idf > vectors. ... > > If I pass norm value of 2.0f to > DictionaryVectorizer.createTermFrequencyVectors method in the current trunk > then I do not see the regression. >
