edu.washington.cs.supple.render.utility
Class FactoredCostFunctionState

java.lang.Object
  edu.washington.cs.supple.render.utility.FactoredCostFunctionState

All Implemented Interfaces:

java.lang.Cloneable, java.io.Serializable

public class FactoredCostFunctionState

extends java.lang.Object

implements java.io.Serializable, java.lang.Cloneable

Author:

kgajos

See Also:

Serialized Form

Field Summary

protected double[][]	covariance
protected int	curEntryIndex
protected java.util.Hashtable	namesToIndices
protected double	normCache
protected double[][]	state

Constructor Summary

FactoredCostFunctionState(FactoredCostFunction costFunction)

FactoredCostFunctionState(FactoredCostFunction costFunction, double mean, double stdev)
Produces a uniform state for factors from a given cost functcion and with a given mean and standard deviation for each weights

FactoredCostFunctionState(int numFactors, double mean, double stdev)
A constructor that produces a uniform dummy state with a specified number of dimensions, mean and stdev for each dimension

Method Summary

void	addNewSample()
java.lang.Object	clone()
double[]	computeExpectation()
double[][]	getCovariance()
int	getIndexFor(java.lang.String factorName)
double	getNorm() Returns the Euclidian norm of the current weight vector
int	getNumWeights()
double	getVariance(int index)
double	getVariance(java.lang.String factorName)
double	getWeight(int index)
double	getWeight(java.lang.String factorName)
double[]	getWeights()
void	setCovariance(double[][] covariance)
protected void	setupLookupTable(FactoredCostFunction costFunction)
protected void	setupLookupTable(int numFactors)
void	setupSampleCollector(int numSamples)
protected void	setupState(FactoredCostFunction costFunction, int numEntries)
protected void	setupState(FactoredCostFunction costFunction, int numEntries, double mean, double stdev)
protected void	setupState(int numFactors, int numEntries, double mean, double stdev)
void	setVariance(int index, double variance)
void	setVariance(java.lang.String factorName, double variance)
void	setWeight(int index, double value)
void	setWeight(java.lang.String factorName, double value)
void	setWeights(double[] weights)
java.lang.String	stateToString()
java.lang.String	toPrettyString()
java.util.Iterator	weightNameIterator()

Methods inherited from class java.lang.Object

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

Field Detail

state

protected double[][] state

covariance

protected double[][] covariance

curEntryIndex

protected int curEntryIndex

namesToIndices

protected java.util.Hashtable namesToIndices

normCache

protected double normCache

Constructor Detail

FactoredCostFunctionState

public FactoredCostFunctionState(FactoredCostFunction costFunction)

FactoredCostFunctionState

public FactoredCostFunctionState(FactoredCostFunction costFunction,
                                 double mean,
                                 double stdev)

Produces a uniform state for factors from a given cost functcion and with a given mean and standard deviation for each weights

Parameters:

costFunction -

mean -

stdev -

FactoredCostFunctionState

public FactoredCostFunctionState(int numFactors,
                                 double mean,
                                 double stdev)

A constructor that produces a uniform dummy state with a specified number of dimensions, mean and stdev for each dimension

Parameters:

numFactors -

mean -

stdev -

Method Detail

setupState

protected void setupState(FactoredCostFunction costFunction,
                          int numEntries)

setupState

protected void setupState(FactoredCostFunction costFunction,
                          int numEntries,
                          double mean,
                          double stdev)

setupState

protected void setupState(int numFactors,
                          int numEntries,
                          double mean,
                          double stdev)

setupLookupTable

protected void setupLookupTable(FactoredCostFunction costFunction)

setupLookupTable

protected void setupLookupTable(int numFactors)

weightNameIterator

public java.util.Iterator weightNameIterator()

getIndexFor

public int getIndexFor(java.lang.String factorName)

getWeight

public double getWeight(int index)

getWeight

public double getWeight(java.lang.String factorName)

getWeights

public double[] getWeights()

setWeights

public void setWeights(double[] weights)

getNumWeights

public int getNumWeights()

setWeight

public void setWeight(int index,
                      double value)

setWeight

public void setWeight(java.lang.String factorName,
                      double value)

setVariance

public void setVariance(int index,
                        double variance)

setVariance

public void setVariance(java.lang.String factorName,
                        double variance)

getVariance

public double getVariance(int index)

getVariance

public double getVariance(java.lang.String factorName)

getCovariance

public double[][] getCovariance()

Returns:

Returns the covariance.

getNorm

public double getNorm()

Returns the Euclidian norm of the current weight vector

Returns:

computeExpectation

public double[] computeExpectation()

setCovariance

public void setCovariance(double[][] covariance)

Parameters:

covariance - The covariance to set.

addNewSample

public void addNewSample()

setupSampleCollector

public void setupSampleCollector(int numSamples)

toPrettyString

public java.lang.String toPrettyString()

stateToString

public java.lang.String stateToString()

clone

public java.lang.Object clone()