Package | Description |
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gov.sandia.cognition.statistics.bayesian |
Provides algorithms for computing Bayesian estimates of parameters.
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Modifier and Type | Class and Description |
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static class |
DirichletProcessMixtureModel.MultivariateMeanCovarianceUpdater
Updater that creates specified clusters with distinct means and covariances
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static class |
DirichletProcessMixtureModel.MultivariateMeanUpdater
Updater that creates specified clusters with identical covariances
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Modifier and Type | Field and Description |
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protected DirichletProcessMixtureModel.Updater<ObservationType> |
DirichletProcessMixtureModel.updater
Creates the clusters and predictive prior distributions
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Modifier and Type | Method and Description |
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DirichletProcessMixtureModel.Updater<ObservationType> |
DirichletProcessMixtureModel.getUpdater()
Getter for updater
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Modifier and Type | Method and Description |
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protected DirichletProcessMixtureModel.DPMMCluster<ObservationType> |
DirichletProcessMixtureModel.createCluster(java.util.Collection<ObservationType> clusterAssignment,
DirichletProcessMixtureModel.Updater<ObservationType> localUpdater)
Creates a cluster from the given cluster assignment
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void |
DirichletProcessMixtureModel.setUpdater(DirichletProcessMixtureModel.Updater<ObservationType> updater)
Setter for updater
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