|
Class Summary |
| AtmGibbsQuerySampler |
AtmGibbsQuerySampler allows sampling from known markov states, i.e., the
model of an author-corpus, which can be used to predict the topics of query
documents. |
| AtmGibbsSampler |
Gibbs sampler for estimating the best assignments of topics for words and
authors of documents in a corpus. |
| AtmMarkovState |
AtmMarkovState represents the state of the gibbs sampler of the lda process
used for estimating unknown documents (word vectors). |
| AtmQueryClient |
LdaQueryClient is the central class for querying lda parameter sets. |
| AtmTopicSimilarities |
FmLdaSimilarities calculates similarities between term and documents, both
known and unknown. |
| TestRand |
|