Package org.apache.mahout.clustering.lda.cvb

Class Summary

Class	Description
CachingCVB0Mapper	Run ensemble learning via loading the ModelTrainer with two TopicModel instances: one from the previous iteration, the other empty.
CachingCVB0PerplexityMapper
CVB0DocInferenceMapper
CVB0Driver	See CachingCVB0Mapper for more details on scalability and room for improvement.
CVB0Driver.DualDoubleSumReducer	Sums keys and values independently.
CVB0TopicTermVectorNormalizerMapper	Performs L1 normalization of input vectors.
InMemoryCollapsedVariationalBayes0	Runs the same algorithm as CVB0Driver, but sequentially, in memory.
ModelTrainer	Multithreaded LDA model trainer class, which primarily operates by running a "map/reduce" operation, all in memory locally (ie not a hadoop job!) : the "map" operation is to take the "read-only" TopicModel and use it to iteratively learn the p(topic|term, doc) distribution for documents (this can be done in parallel across many documents, as the "read-only" model is, well, read-only.
TopicModel	Thin wrapper around a Matrix of counts of occurrences of (topic, term) pairs.

Enum Summary

Enum	Description
CachingCVB0PerplexityMapper.Counters	Hadoop counters for CachingCVB0PerplexityMapper, to aid in debugging.