def unigram_smoothing(data, model):
td, idf, vocab = data
td = td[:, :-1]
lsa = LSA(model)
res = lsa.unigram_smoothing()
print res.shape
print np.abs(td - res).sum() / float(res.shape[0] * res.shape[1])
def unigram_smoothing(data, model):
td, idf, vocab = data
td = td[:,:-1]
lsa = LSA(model)
res = lsa.unigram_smoothing()
print res.shape
print np.abs(td-res).sum() / float(res.shape[0] * res.shape[1])
