| Package | Description |
|---|---|
| com.aliasi.cluster |
Classes for clustering data and evaluation.
|
| Modifier and Type | Method and Description |
|---|---|
static LatentDirichletAllocation.GibbsSample |
LatentDirichletAllocation.gibbsSampler(int[][] docWords,
short numTopics,
double docTopicPrior,
double topicWordPrior,
int burninEpochs,
int sampleLag,
int numSamples,
Random random,
ObjectHandler<LatentDirichletAllocation.GibbsSample> handler)
Run Gibbs sampling for the specified multinomial data, number
of topics, priors, search parameters, randomization and
callback sample handler.
|
| Modifier and Type | Method and Description |
|---|---|
static Iterator<LatentDirichletAllocation.GibbsSample> |
LatentDirichletAllocation.gibbsSample(int[][] docWords,
short numTopics,
double docTopicPrior,
double topicWordPrior,
Random random)
Return an iterator over Gibbs samples for the specified
document-word corpus, number of topics, priors and randomizer.
|
| Modifier and Type | Method and Description |
|---|---|
static LatentDirichletAllocation.GibbsSample |
LatentDirichletAllocation.gibbsSampler(int[][] docWords,
short numTopics,
double docTopicPrior,
double topicWordPrior,
int burninEpochs,
int sampleLag,
int numSamples,
Random random,
ObjectHandler<LatentDirichletAllocation.GibbsSample> handler)
Run Gibbs sampling for the specified multinomial data, number
of topics, priors, search parameters, randomization and
callback sample handler.
|
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