cc.mallet.grmm.inference.gbp
Class ParentChildGBP

java.lang.Object
  cc.mallet.grmm.inference.AbstractInferencer
      cc.mallet.grmm.inference.gbp.ParentChildGBP

All Implemented Interfaces:

Inferencer, java.io.Serializable, java.lang.Cloneable

public class ParentChildGBP
extends AbstractInferencer

Created: May 27, 2005

Version:

$Id: ParentChildGBP.java,v 1.1 2007/10/22 21:37:58 mccallum Exp $

Author:

Serialized Form

Constructor Summary

ParentChildGBP(RegionGraphGenerator regioner)

ParentChildGBP(RegionGraphGenerator regioner, MessageStrategy sender)

Method Summary

void	computeMarginals(FactorGraph mdl) Computes marginal distributions for a factor graph.
void	dump()
double	getInertiaWeight()
boolean	getUseInertia()
double	lookupLogJoint(Assignment assn) Returns the natural logarithm of the joint probability of a given assignment, computed in some factorized fashion.
Factor	lookupMarginal(Variable variable) Returns the computed marginal of a given variable.
Factor	lookupMarginal(VarSet varSet) Returns the computed marginal of a given clique in a graph.
static ParentChildGBP	makeBPInferencer()
static ParentChildGBP	makeKikuchiInferencer()
void	setInertiaWeight(double inertiaWeight)
void	setUseInertia(boolean useInertia)

Methods inherited from class cc.mallet.grmm.inference.AbstractInferencer

duplicate, lookupJoint, query, reportTime

Methods inherited from class java.lang.Object

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

Constructor Detail

ParentChildGBP

public ParentChildGBP(RegionGraphGenerator regioner)

ParentChildGBP

public ParentChildGBP(RegionGraphGenerator regioner,
                      MessageStrategy sender)

Method Detail

makeBPInferencer

public static ParentChildGBP makeBPInferencer()

makeKikuchiInferencer

public static ParentChildGBP makeKikuchiInferencer()

getUseInertia

public boolean getUseInertia()

setUseInertia

public void setUseInertia(boolean useInertia)

getInertiaWeight

public double getInertiaWeight()

setInertiaWeight

public void setInertiaWeight(double inertiaWeight)

lookupMarginal

public Factor lookupMarginal(Variable variable)

Description copied from interface: Inferencer

Returns the computed marginal of a given variable. Before using this method, computeMarginals must have been previously called on the graphical model that contains v.

Specified by:

lookupMarginal in interface Inferencer

Specified by:

lookupMarginal in class AbstractInferencer

See Also:

Inferencer.computeMarginals(FactorGraph)

lookupMarginal

public Factor lookupMarginal(VarSet varSet)

Description copied from interface: Inferencer

Returns the computed marginal of a given clique in a graph. Before using this method, computeMarginals must have been previously called on the graphical model that contains the clique.

Specified by:

lookupMarginal in interface Inferencer

Overrides:

lookupMarginal in class AbstractInferencer

See Also:

Inferencer.computeMarginals(cc.mallet.grmm.types.FactorGraph), #computeMarginals(JunctionTree)

lookupLogJoint

public double lookupLogJoint(Assignment assn)

Description copied from interface: Inferencer

Returns the natural logarithm of the joint probability of a given assignment, computed in some factorized fashion. Before using this method, computeMarginals must have been previously called on the graphical model that contains the variables of assn.

This method is less likely to underflow than Math.log (lookupJoint (assn)).

Specified by:

lookupLogJoint in interface Inferencer

Overrides:

lookupLogJoint in class AbstractInferencer

See Also:

Inferencer.computeMarginals(cc.mallet.grmm.types.FactorGraph), #computeMarginals(JunctionTree)

computeMarginals

public void computeMarginals(FactorGraph mdl)

Description copied from interface: Inferencer

Computes marginal distributions for a factor graph.

Specified by:

computeMarginals in interface Inferencer

Specified by:

computeMarginals in class AbstractInferencer

dump

public void dump()

Specified by:

dump in interface Inferencer

Overrides:

dump in class AbstractInferencer