gov.sandia.cognition.statistics.bayesian

Class BayesianRobustLinearRegression.PredictiveDistribution

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.statistics.bayesian.BayesianRobustLinearRegression.PredictiveDistribution

All Implemented Interfaces:

Evaluator<Vectorizable,StudentTDistribution>, CloneableSerializable, java.io.Serializable, java.lang.Cloneable

Enclosing class:

BayesianRobustLinearRegression

public class BayesianRobustLinearRegression.PredictiveDistribution
extends AbstractCloneableSerializable
implements Evaluator<Vectorizable,StudentTDistribution>

Predictive distribution of future data given the posterior of the weights given the data.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
PredictiveDistribution(MultivariateGaussianInverseGammaDistribution posterior) Creates a new instance of PredictiveDistribution

Method Summary

Modifier and Type	Method and Description
StudentTDistribution	evaluate(Vectorizable input) Evaluates the function on the given input and returns the output.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PredictiveDistribution

public PredictiveDistribution(MultivariateGaussianInverseGammaDistribution posterior)

Creates a new instance of PredictiveDistribution

Parameters:

posterior - Posterior distribution of the weights given the data.

Method Detail

evaluate

public StudentTDistribution evaluate(Vectorizable input)

Description copied from interface: Evaluator

Evaluates the function on the given input and returns the output.

Specified by:

evaluate in interface Evaluator<Vectorizable,StudentTDistribution>

Parameters:

input - The input to evaluate.

Returns:

The output produced by evaluating the input.