gensim.models.NormModel.__init__¶

NormModel.__init__(corpus=None, norm='l2')[source]¶

Compute the ‘l1’ or ‘l2’ normalization by normalizing separately for each doc in a corpus. Formula for ‘l1’ norm for term ‘i’ in document ‘j’ in a corpus of ‘D’ documents is:

norml1_{i, j} = (i / sum(absolute(values in j)))

Formula for ‘l2’ norm for term ‘i’ in document ‘j’ in a corpus of ‘D’ documents is:

norml2_{i, j} = (i / sqrt(sum(square(values in j))))