gensim.models.LdaModel.bound

LdaModel.bound(corpus, gamma=None, subsample_ratio=1.0)[source]

Estimate the variational bound of documents from corpus: E_q[log p(corpus)] - E_q[log q(corpus)]

gamma are the variational parameters on topic weights for each corpus document (=2d matrix=what comes out of inference()). If not supplied, will be inferred from the model.