Package jdistlib.inference

Class SparseSubsetTarget

java.lang.Object

jdistlib.inference.SparseSubsetTarget

public final class SparseSubsetTarget
extends Object

Sparse subset target with an arbitrary candidate count and a bounded active set.

Constructor Summary

Constructors

Constructor	Description
SparseSubsetTarget(String[] commonParameterNames, String[] candidateNames, int maximumActive, SparseSubsetLogJoint logJoint)

Method Summary

Modifier and Type	Method	Description
int	candidateCount()
String	candidateName(int candidate)
String[]	candidateNames()
int	commonDimension()
String	commonParameterName(int index)
String[]	commonParameterNames()
double	logJoint(SparseSubsetState state)
int	maximumActive()
String	modelName(SparseSubsetState state)
SparseSubsetState	state(double[] commonParameters)
SparseSubsetState	state(int[] activeCandidates, double[] commonParameters, double[] coefficients)
void	validate(SparseSubsetState state)

Methods inherited from class java.lang.Object

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

Constructor Details

SparseSubsetTarget

public SparseSubsetTarget(String[] commonParameterNames,
 String[] candidateNames,
 int maximumActive,
 SparseSubsetLogJoint logJoint)

Method Details

candidateCount

public int candidateCount()

commonDimension

public int commonDimension()

maximumActive

public int maximumActive()

candidateName

public String candidateName(int candidate)

candidateNames

public String[] candidateNames()

commonParameterName

public String commonParameterName(int index)

commonParameterNames

public String[] commonParameterNames()

state

public SparseSubsetState state(double[] commonParameters)

state

public SparseSubsetState state(int[] activeCandidates,
 double[] commonParameters,
 double[] coefficients)

logJoint

public double logJoint(SparseSubsetState state)

validate

public void validate(SparseSubsetState state)

modelName

public String modelName(SparseSubsetState state)