Methods for Function logLik
Compute the log-likelihood.
- object = TopicModel:
- Compute the log-likelihood of a
"VEM"objects the sum of the log-likelihood of all documents given the parameters for the topic distribution and for the word distribution of each topic is approximated using the variational parameters and underestimates the log-likelihood by the Kullback-Leibler divergence between the variational posterior probability and the true posterior probability.
- object = Gibbs_list:
- Compute the log-likelihoods of the
"TopicModel"objects contained in the
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