Uses of Class
org.knowceans.dirichlet.lda.LdaMarkovState

Packages that use LdaMarkovState

org.knowceans.dirichlet.atm
org.knowceans.dirichlet.lda
org.knowceans.dirichlet.sandbox

Uses of LdaMarkovState in org.knowceans.dirichlet.atm

Subclasses of LdaMarkovState in org.knowceans.dirichlet.atm

class

AtmMarkovState AtmMarkovState represents the state of the gibbs sampler of the lda process used for estimating unknown documents (word vectors).

Uses of LdaMarkovState in org.knowceans.dirichlet.lda

Fields in org.knowceans.dirichlet.lda declared as LdaMarkovState

private LdaMarkovState	LdaQueryClient.mcmc
protected LdaMarkovState	LdaGibbsSampler.state State variables of the Lda gibbs sampler.
(package private) LdaMarkovState	LdaGibbsQuerySampler.stateq stateq contains the query documents.
(package private) LdaMarkovState	LdaGibbsQuerySampler.stateSave stateSave contains the saved markov state (after initially loading the state.

Methods in org.knowceans.dirichlet.lda that return LdaMarkovState

LdaMarkovState

LdaGibbsSampler.getState() Get the current state of the markov chain.

Methods in org.knowceans.dirichlet.lda with parameters of type LdaMarkovState

void	LdaMarkovState.copyTo(LdaMarkovState cps) Copy the information contained in this to the fields of the argument object.
void	LdaGibbsSampler.gibbsHeap(LdaMarkovState s, ExtLdaConfiguration c) Native gibbs sampling on the jvm heap
protected void	LdaGibbsSampler.sampleCorpus(LdaMarkovState s) Sample once through the corpus and update the corresponding state.
protected int	LdaGibbsSampler.sampleLdaFullConditional(LdaMarkovState s, int m, int n) Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta)/(n_-i,j(.) + W * beta) * (n_-i,j(d_i) + alpha)/(n_-i,.

Constructors in org.knowceans.dirichlet.lda with parameters of type LdaMarkovState

ExtLdaConfiguration(LdaMarkovState mcmc)
Create a configuration that is consistent with the markov state.

LdaGibbsQuerySampler(LdaMarkovState state, ExtLdaConfiguration conf, boolean restorable)
Initialise the gibbs sampler with a known markov state (for querying).

LdaGibbsQuerySampler(LdaMarkovState state, ExtLdaConfiguration conf, java.util.Random rand, boolean restorable)
Initialise the gibbs sampler with a known markov state (for querying).

LdaGibbsSampler(ITermCorpus corpus, LdaMarkovState state, ExtLdaConfiguration conf, java.util.Random rand)
Initialise the sampler with an existing state.

LdaGibbsSampler(LdaMarkovState state, ExtLdaConfiguration conf, java.util.Random rand)
Initialise the sampler with an existing state.

LdaMarkovState(LdaMarkovState state)
Copy constructor that copies all internal fields from state to this.

Uses of LdaMarkovState in org.knowceans.dirichlet.sandbox

Subclasses of LdaMarkovState in org.knowceans.dirichlet.sandbox

class

LdaMarkovStateHyper LdaMarkovStateHyperCps is a markov state that supports training of hyperparameters, both for vectorial and symmetric priors.

Methods in org.knowceans.dirichlet.sandbox with parameters of type LdaMarkovState

protected void	LdaGibbsSamplerHyper.sampleCorpus(LdaMarkovState s)
protected int	LdaGibbsSamplerHyper.sampleLdaFullConditional(LdaMarkovState ms, int m, int n) Sample a topic z_i from the full conditional distribution: p(z_i = j | z_-i, w) = (n_-i,j(w_i) + beta(w_i))/(n_-i,j(.) + sum beta) * (n_-i,j(d_i) + alpha(j))/(n_-i,.