org.openimaj.pgm.vb.lda.mle

Interface LDABetaInitStrategy

All Known Implementing Classes:

LDABetaInitStrategy.RandomBetaInit

public interface LDABetaInitStrategy

Initialisation strategies for the beta matrix in the maximum liklihood LDA. Specifically implementors are expected to initialise the sufficient statistics of beta (i.e. topicWord and topicTotal s.t. Beta_ij = topicWord_ij / topicTotal_i

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	LDABetaInitStrategy.RandomBetaInit initialises beta randomly s.t.

Method Summary

Methods

Modifier and Type	Method and Description
void	initModel(LDAModel model, Corpus corpus) Given a model and the corpus initialise the model's sufficient statistics

Method Detail

initModel

void initModel(LDAModel model,
             Corpus corpus)

Given a model and the corpus initialise the model's sufficient statistics

Parameters:

model -

corpus -