| Interface | Description |
|---|---|
| LDABetaInitStrategy |
Initialisation strategies for the beta matrix in the maximum liklihood LDA.
|
| Class | Description |
|---|---|
| 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
|