## Package org.apache.mahout.clustering.lda

Class Summary
LDADriver: Estimates an LDA model from a corpus of documents, which are SparseVectors of word counts.
LDAInference: Class for performing infererence on a document, which involves computing (an approximation to) p(word|topic) for each word and topic, and a prior distribution p(topic) for each topic.
LDAInference.InferredDocument: An estimate of the probabilitys for each document.
LDAMapper: Runs inference on the input documents (which are sparse vectors of word counts) and outputs the sufficient statistics for the word-topic assignments.
LDAReducer: A very simple reducer which simply logSums the input doubles and outputs a new double for sufficient statistics, and sums log likelihoods.
LDAState

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