Uses of Class
cc.mallet.grmm.types.Assignment

Packages that use Assignment

cc.mallet.grmm.inference
cc.mallet.grmm.inference.gbp
cc.mallet.grmm.learning
cc.mallet.grmm.types
cc.mallet.grmm.util

Uses of Assignment in cc.mallet.grmm.inference

Methods in cc.mallet.grmm.inference that return Assignment

Assignment	TRP.bestAssignment()
Assignment	Sampler.sample(FactorGraph mdl, int N) Samples from the distribution of a given undirected model.
Assignment	GibbsSampler.sample(FactorGraph mdl, int N)
Assignment	ExactSampler.sample(FactorGraph mdl, int N)

Methods in cc.mallet.grmm.inference with parameters of type Assignment

double	JunctionTreeInferencer.dumpLogJoint(Assignment assn)
double	JunctionTree.dumpLogJoint(Assignment assn)
double	Inferencer.lookupJoint(Assignment assn) Returns the joint probability of a given assignment, computed in some factorized fashion.
double	BruteForceInferencer.lookupJoint(Assignment assn)
double	AbstractInferencer.lookupJoint(Assignment assn)
double	JunctionTreeInferencer.lookupLogJoint(Assignment assn)
double	JunctionTree.lookupLogJoint(Assignment assn)
double	Inferencer.lookupLogJoint(Assignment assn) Returns the natural logarithm of the joint probability of a given assignment, computed in some factorized fashion.
double	BruteForceInferencer.lookupLogJoint(Assignment assn)
double	AbstractInferencer.lookupLogJoint(Assignment assn)
double	AbstractBeliefPropagation.lookupLogJoint(Assignment assn)
double	Inferencer.query(FactorGraph mdl, Assignment assn) Computes the marginal probability of a given assignment to a small number of model variables.
double	AbstractInferencer.query(FactorGraph mdl, Assignment assn)

Uses of Assignment in cc.mallet.grmm.inference.gbp

Methods in cc.mallet.grmm.inference.gbp with parameters of type Assignment

double

ParentChildGBP.lookupLogJoint(Assignment assn)

Uses of Assignment in cc.mallet.grmm.learning

Methods in cc.mallet.grmm.learning that return Assignment

Assignment	ACRF.bestAssignment(Instance inst)
protected Assignment	ACRF.Template.computeAssignment(Assignment graphAssn, VarSet vs)
Assignment	ACRF.UnrolledGraph.getAssignment() Returns an Assignment object that corresponds to the LabelSequence for which this graph was unrolled.
Assignment	ACRF.UnrolledVarSet.lookupAssignment()

Methods in cc.mallet.grmm.learning with parameters of type Assignment

protected Assignment	ACRF.Template.computeAssignment(Assignment graphAssn, VarSet vs)
int	ACRF.UnrolledVarSet.lookupNumberOfAssignment(Assignment assn)

Uses of Assignment in cc.mallet.grmm.types

Methods in cc.mallet.grmm.types that return Assignment

Assignment	AssignmentIterator.assignment()
Assignment	Assignment.getRow(int ridx)
static Assignment	Assignment.makeFromSingleIndex(VarSet clique, int idx)
static Assignment	Assignment.restriction(Assignment assn, VarSet varSet) Deprecated. marginalize
Assignment	UniNormalFactor.sample(Randoms r)
Assignment	UniformFactor.sample(Randoms r)
Assignment	SkeletonFactor.sample(Randoms r)
Assignment	PottsTableFactor.sample(Randoms r)
Assignment	NormalFactor.sample(Randoms r)
Assignment	FactorGraph.sample(Randoms r)
Assignment	Factor.sample(Randoms r) Return an assignment sampled from this factor, interpreting it as an unnormalized probability distribution.
Assignment	CPT.sample(Randoms r)
Assignment	ConstantFactor.sample(Randoms r)
Assignment	BinaryUnaryFactor.sample(Randoms r)
Assignment	BetaFactor.sample(Randoms r)
Assignment	Assignment.sample(Randoms r)
Assignment	AbstractTableFactor.sample(Randoms r)
Assignment	AbstractFactor.sample(Randoms r)
Assignment	FactorGraph.sampleContinuousVars(Randoms r) Samples the continuous variables in this factor graph.
Assignment	Assignment.subAssn(int start, int end)
static Assignment	Assignment.union(Assignment assn1, Assignment assn2) Returns the union of two Assignments.

Methods in cc.mallet.grmm.types with parameters of type Assignment

void	Assignment.addRow(Assignment other)
double	FactorGraph.factorProduct(Assignment assn) Returns the unnormalized probability for an assignment to the model.
double	TableFactor.logValue(Assignment assn)
double	LogTableFactor.logValue(Assignment assn)
double	FactorGraph.logValue(Assignment assn)
double	Factor.logValue(Assignment assn)
double	CPT.logValue(Assignment assn)
double	AbstractFactor.logValue(Assignment assn)
void	FactorGraph.printAsDot(java.io.PrintWriter out, Assignment assn)
protected double	TableFactor.rawValue(Assignment assn)
protected double	LogTableFactor.rawValue(Assignment assn)
static Assignment	Assignment.restriction(Assignment assn, VarSet varSet) Deprecated. marginalize
double	PottsTableFactor.secondDerivative(Factor q, Variable param, Assignment theta)
void	TableFactor.setLogValue(Assignment assn, double logValue)
void	LogTableFactor.setLogValue(Assignment assn, double logValue)
abstract void	AbstractTableFactor.setLogValue(Assignment assn, double logValue) Use of this method is discouraged.
void	AbstractTableFactor.setRawValue(Assignment assn, double value)
void	Assignment.setRow(int ridx, Assignment other)
protected Factor	TableFactor.slice_general(Variable[] vars, Assignment observed)
protected Factor	LogTableFactor.slice_general(Variable[] vars, Assignment observed)
protected abstract Factor	AbstractTableFactor.slice_general(Variable[] vars, Assignment observed)
protected Factor	TableFactor.slice_onevar(Variable var, Assignment observed) Creates a new potential from another by restricting it to a given assignment.
protected Factor	LogTableFactor.slice_onevar(Variable var, Assignment observed)
protected abstract Factor	AbstractTableFactor.slice_onevar(Variable var, Assignment observed)
protected Factor	TableFactor.slice_twovar(Variable v1, Variable v2, Assignment observed)
protected Factor	LogTableFactor.slice_twovar(Variable v1, Variable v2, Assignment observed)
protected abstract Factor	AbstractTableFactor.slice_twovar(Variable v1, Variable v2, Assignment observed)
Factor	UniNormalFactor.slice(Assignment assn)
Factor	UniformFactor.slice(Assignment assn)
Factor	SkeletonFactor.slice(Assignment assn)
Factor	PottsTableFactor.slice(Assignment assn)
Factor	NormalFactor.slice(Assignment assn)
Factor	FactorGraph.slice(Assignment assn)
Factor	Factor.slice(Assignment assn)
Factor	CPT.slice(Assignment assn)
Factor	ConstantFactor.slice(Assignment assn)
Factor	BinaryUnaryFactor.slice(Assignment assn)
Factor	BetaFactor.slice(Assignment assn)
Factor	Assignment.slice(Assignment assn)
Factor	AbstractTableFactor.slice(Assignment assn) Creates a new potential that is equal to this one, restricted to a given assignment.
Factor	FactorGraph.slice(Assignment assn, java.util.Map toSlicedMap)
double	PottsTableFactor.sumGradLog(Factor q, Variable param, Assignment theta)
double	ParameterizedFactor.sumGradLog(Factor q, Variable param, Assignment assn) Computes the expected derivative of the log factor value.
double	BinaryUnaryFactor.sumGradLog(Factor q, Variable param, Assignment paramAssn)
static Assignment	Assignment.union(Assignment assn1, Assignment assn2) Returns the union of two Assignments.
double	UniNormalFactor.value(Assignment assn)
double	UniformFactor.value(Assignment assn)
double	TableFactor.value(Assignment assn)
double	NormalFactor.value(Assignment assn)
double	LogTableFactor.value(Assignment assn)
double	FactorGraph.value(Assignment assn) FACTOR IMPLEMENTATION
double	Factor.value(Assignment assn) Returns the value of the local function for a given assignment.
double	CPT.value(Assignment assn)
double	BetaFactor.value(Assignment assn)
abstract double	AbstractTableFactor.value(Assignment assn)
double	AbstractFactor.value(Assignment assn)

Uses of Assignment in cc.mallet.grmm.util

Subclasses of Assignment in cc.mallet.grmm.util

class

LabelsAssignment A special kind of assignment for Variables that can be arranged in a LabelsSequence.

Methods in cc.mallet.grmm.util that return Assignment

static Assignment	Models.bestAssignment(FactorGraph mdl, Inferencer inf) Returns the highest-score Assignment in a model according to a given inferencer.
static Assignment	ModelReader.readFromMatrix(VarSet vars, java.io.Reader in)

Methods in cc.mallet.grmm.util with parameters of type Assignment

static FactorGraph	Models.addEvidence(FactorGraph mdl, Assignment assn) Returns a new factor graph, the same as a given one, except that all the nodes in the given Assignment are clamped as evidence.
static FactorGraph	Models.addEvidence(FactorGraph mdl, Assignment assn, java.util.Map toSlicedMap)
static UndirectedModel	Models.addEvidence(UndirectedModel mdl, Assignment assn)
LabelsSequence	LabelsAssignment.toLabelsSequence(Assignment assn)