gensim.models.NormModel¶

class gensim.models.NormModel(corpus=None, norm='l2')[source]¶

Objects of this class realize the explicit normalization of vectors. Supported norms are l1’ and ‘l2’ with ‘l2’ being default.

The main methods are:

1. Constructor which normalizes the terms in the given corpus document-wise.
2. The normalize() method which normalizes a simple count representation.
3. The [] transformation which internally calls the self.normalize() method.

>>> norm_l2 = NormModel(corpus)
>>> print(norm_l2[some_doc])
>>> norm_l2.save('/tmp/foo.tfidf_model')

Model persistency is achieved via its load/save methods