public static class MultivariateGaussianMeanBayesianEstimator.Parameter extends AbstractBayesianParameter<Vector,MultivariateGaussian,MultivariateGaussian>
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
NAME
Name of the parameter, "mean".
|
conditionalDistributionname| Constructor and Description |
|---|
Parameter(MultivariateGaussian conditional,
MultivariateGaussian prior)
Creates a new instance
|
| Modifier and Type | Method and Description |
|---|---|
Vector |
getValue()
Gets the value stored in the name-value pair.
|
void |
setValue(Vector value)
Sets the value of the parameter.
|
clone, getConditionalDistribution, getParameterPrior, setConditionalDistribution, setParameterPrior, updateConditionalDistributiongetName, setName, toStringpublic static final java.lang.String NAME
public Parameter(MultivariateGaussian conditional, MultivariateGaussian prior)
prior - Default conjugate prior.conditional - Conditional distribution of the conjugate prior.public void setValue(Vector value)
DistributionParametervalue - Parameter to set.public Vector getValue()
NamedValue