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

Packages that use FactoredCostFunctionState

edu.washington.cs.supple.render
edu.washington.cs.supple.render.utility

Uses of FactoredCostFunctionState in edu.washington.cs.supple.render

Fields in edu.washington.cs.supple.render declared as FactoredCostFunctionState

protected static FactoredCostFunctionState

SuppleDeviceProperties.priorCostFunctionState

Methods in edu.washington.cs.supple.render that return FactoredCostFunctionState

static FactoredCostFunctionState

SuppleDeviceProperties.getPriorCostFunctionState()

Methods in edu.washington.cs.supple.render with parameters of type FactoredCostFunctionState

void	FactoredCostFunction.setState(FactoredCostFunctionState state)
void	AbstractFactoredCostFunction.setState(FactoredCostFunctionState state)

Uses of FactoredCostFunctionState in edu.washington.cs.supple.render.utility

Fields in edu.washington.cs.supple.render.utility declared as FactoredCostFunctionState

protected FactoredCostFunctionState

MinimizeUncertaintyQueryGenerator.state

Methods in edu.washington.cs.supple.render.utility that return FactoredCostFunctionState

protected FactoredCostFunctionState

BayesianSolver.test(int numStates, int numSamples, double mean, double stdev, java.util.Vector constraints)

Methods in edu.washington.cs.supple.render.utility with parameters of type FactoredCostFunctionState

double	FactorUncertaintyMeasure.getUncertaintyMeasure(FactoredCostFunctionState state)
double	FactorUncertaintyMeasure.hypothesizeUncertaintyMeasure(FactorConstraint constraint, FactoredCostFunctionState state)
static double	DistanceCalculator.getDistance(FactorConstraint constraint, FactoredCostFunctionState state) Computes the shortest distance between the hyperplane of the constraint and the current solution point
double	FactorConstraint.getLikelihood(FactoredCostFunctionState state) Returns the likelihood of a given state given this constraint
boolean	FactorConstraint.isSatisfied(FactoredCostFunctionState state) Checks if the state satisfied this constraint
double	FactorConstraint.getTransitionPointForFactorWeight(java.lang.String factorName, FactoredCostFunctionState state) This method looks for the value for the weight for a factor with a given name that lies on the boundry of this constraint being satisfied or unsatisfied; all that assuming that other weights have values as represented by the state
protected double	FactorConstraint.getConstraintValue(FactoredCostFunctionState state)
protected void	FactorConstraint.ensureFactorIndices(FactoredCostFunctionState state)
void	FactoredCostSolver.updateCostFunctionWeights(FactoredCostFunction cf, FactoredCostConstraintGenerator constraintGenerator, FactoredCostFunctionState prior)
void	MaxMarginSolver.updateCostFunctionWeights(FactoredCostFunction cf, FactoredCostConstraintGenerator constraintGenerator, FactoredCostFunctionState prior)
protected double[]	MaxMarginSolver.solve(java.util.Vector constraints, FactoredCostFunctionState prior)
protected Problem	MaxMarginSolver.buildProblem(java.util.Vector constraints, FactoredCostFunctionState prior)
void	BayesianSolver.updateCostFunctionWeights(FactoredCostFunction cf, FactoredCostConstraintGenerator constraintGenerator, FactoredCostFunctionState prior)
protected void	BayesianSolver.solve(FactoredCostFunctionState priorState, FactoredCostFunctionState curState, java.util.Vector constraints)
protected void	BayesianSolver.singleSample(FactoredCostFunctionState priorState, FactoredCostFunctionState curState, java.util.Vector constraints)
protected double	BayesianSolver.getDensity(FactoredCostFunctionState priorState, FactoredCostFunctionState curState, java.util.Vector constraints)
protected double	BayesianSolver.getLikelihood(FactoredCostFunctionState state, java.util.Vector constraints)
protected void	BayesianSolver.ensureCommonData(FactoredCostFunctionState priorState)
protected double	BayesianSolver.getPriorDensity(FactoredCostFunctionState priorState, FactoredCostFunctionState curState)
protected double	BayesianSolver.calculateAverageError(FactoredCostFunctionState state, double mean)