Package cc.mallet.topics

Class Summary
HierarchicalPAM Hierarchical PAM, where each node in the DAG has a distribution over all topics on the next level and one additional "node-specific" topic.
LDA Deprecated. Use ParallelTopicModel instead.
LDAHyper Deprecated. Use ParallelTopicModel instead, which uses substantially faster data structures even for non-parallel operation.
MarginalProbEstimator An implementation of topic model marginal probability estimators presented in Wallach et al., "Evaluation Methods for Topic Models", ICML (2009)
MultinomialHMM Latent Dirichlet Allocation.
NPTopicModel A non-parametric topic model that uses the "minimal path" assumption to reduce bookkeeping.
PAM4L Four Level Pachinko Allocation with MLE learning, based on Andrew's Latent Dirichlet Allocation.
ParallelTopicModel Simple parallel threaded implementation of LDA, following Newman, Asuncion, Smyth and Welling, Distributed Algorithms for Topic Models JMLR (2009), with SparseLDA sampling scheme and data structure from Yao, Mimno and McCallum, Efficient Methods for Topic Model Inference on Streaming Document Collections, KDD (2009).
PolylingualTopicModel Latent Dirichlet Allocation for loosely parallel corpora in arbitrary languages
SimpleLDA A simple implementation of Latent Dirichlet Allocation using Gibbs sampling.
TopicalNGrams Like Latent Dirichlet Allocation, but with integrated phrase discovery.
TopicAssignment This class combines a sequence of observed features with a sequence of hidden "labels".
WorkerRunnable A parallel topic model runnable task.