Interface | Description |
---|---|
LDABetaInitStrategy |
Initialisation strategies for the beta matrix in the maximum liklihood LDA.
|
Class | Description |
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LDABetaInitStrategy.RandomBetaInit |
initialises beta randomly s.t.
|
LDALearner |
An implementation of variational inference LDA which can be saved and loaded
|
LDAModel |
Holds the sufficient statistics for a maximum liklihood LDA
as well as a single value for alpha (the parameter of the topic
dirichlet prior)
|
LDAVariationlState |
The state of the E step of the MLE LDA
|