cc.mallet.grmm.types
Class NormalFactor

java.lang.Object
  cc.mallet.grmm.types.AbstractFactor
      cc.mallet.grmm.types.NormalFactor

All Implemented Interfaces:

Factor, java.io.Serializable, java.lang.Cloneable

public class NormalFactor
extends AbstractFactor

Multivariate Gaussian factor. Currently, almost all of this class is a stub, except for the sample method. $Id: NormalFactor.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $

See Also:

Serialized Form

Field Summary

Fields inherited from class cc.mallet.grmm.types.AbstractFactor

vars

Constructor Summary

NormalFactor(VarSet vars, no.uib.cipr.matrix.Vector mean, no.uib.cipr.matrix.Matrix variance)

Method Summary

boolean	almostEquals(Factor p, double epsilon)
void	divideBy(Factor f) Computes this /= pot
java.lang.String	dumpToString()
Factor	duplicate()
protected Factor	extractMaxInternal(VarSet varSet)
boolean	isNaN()
protected double	lookupValueInternal(int i)
protected Factor	marginalizeInternal(VarSet varsToKeep)
void	multiplyBy(Factor f) Does this *= pot.
Factor	normalize() Multiplies this potential by a constant such that it sums to 1.
Assignment	sample(Randoms r) Return an assignment sampled from this factor, interpreting it as an unnormalized probability distribution.
Factor	slice(Assignment assn)
java.lang.String	toString()
double	value(Assignment assn) Returns the value of the local function for a given assignment.

Methods inherited from class cc.mallet.grmm.types.AbstractFactor

almostEquals, argmax, assignmentIterator, asTable, containsVar, delogify, entropy, exponentiate, extractMax, extractMax, extractMax, getVariable, isInLogSpace, log, logify, logValue, logValue, logValue, marginalize, marginalize, marginalize, marginalizeOut, marginalizeOut, multiply, phi, prettyOutputString, setVarSet, sum, value, varSet

Methods inherited from class java.lang.Object

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

Constructor Detail

NormalFactor

public NormalFactor(VarSet vars,
                    no.uib.cipr.matrix.Vector mean,
                    no.uib.cipr.matrix.Matrix variance)

Method Detail

extractMaxInternal

protected Factor extractMaxInternal(VarSet varSet)

Specified by:

extractMaxInternal in class AbstractFactor

value

public double value(Assignment assn)

Description copied from interface: Factor

Returns the value of the local function for a given assignment. All variables in the potential must be included, but it's okay if the assignment uses variables not in the potential.

Specified by:

value in interface Factor

Overrides:

value in class AbstractFactor

lookupValueInternal

protected double lookupValueInternal(int i)

Specified by:

lookupValueInternal in class AbstractFactor

marginalizeInternal

protected Factor marginalizeInternal(VarSet varsToKeep)

Specified by:

marginalizeInternal in class AbstractFactor

normalize

public Factor normalize()

Description copied from interface: Factor

Multiplies this potential by a constant such that it sums to 1. Destructive; returns this factor.

sample

public Assignment sample(Randoms r)

Description copied from interface: Factor

Return an assignment sampled from this factor, interpreting it as an unnormalized probability distribution.

Specified by:

sample in interface Factor

Overrides:

sample in class AbstractFactor

almostEquals

public boolean almostEquals(Factor p,
                            double epsilon)

duplicate

public Factor duplicate()

isNaN

public boolean isNaN()

dumpToString

public java.lang.String dumpToString()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

slice

public Factor slice(Assignment assn)

multiplyBy

public void multiplyBy(Factor f)

Description copied from interface: Factor

Does this *= pot.

If both potentials are currently in log space, then does addition instead.

Specified by:

multiplyBy in interface Factor

Overrides:

multiplyBy in class AbstractFactor

divideBy

public void divideBy(Factor f)

Description copied from interface: Factor

Computes this /= pot

If both potentials are currently in log space, then does subtraction instead.

Specified by:

divideBy in interface Factor

Overrides:

divideBy in class AbstractFactor