Uses of Class
pt.tumba.ngram.bayes.ProbabilityFunction

Packages that use ProbabilityFunction

pt.tumba.ngram.bayes

Implementation of Bayesian Network Classifiers that can be used to categorize text files using N-Grams as features.

Uses of ProbabilityFunction in pt.tumba.ngram.bayes

Subclasses of ProbabilityFunction in pt.tumba.ngram.bayes

class	ConstantDensityBoundedSet
class	ConstantDensityRatioSet
class	EpsilonContaminatedSet
(package private) class	FinitelyGeneratedSet
class	QBProbabilityFunction
class	TotalVariationSet
class	TwoMonotoneCapacity
class	VertexSet

Fields in pt.tumba.ngram.bayes declared as ProbabilityFunction

(package private) ProbabilityFunction	QuasiBayesInference.list_of_local_neighborhood_results
(package private) ProbabilityFunction	InferenceGraphNode.pf
protected ProbabilityFunction[]	BayesNet.probability_functions
protected ProbabilityFunction	Inference.result
(package private) ProbabilityFunction[]	Explanation.results

Methods in pt.tumba.ngram.bayes that return ProbabilityFunction

private ProbabilityFunction	BucketTree.check_evidence(ProbabilityFunction pf)
ProbabilityFunction	BayesNet.get_function(ProbabilityVariable p_v) Find the ProbabilityFunction that corresponds to a given ProbabilityVariable.
ProbabilityFunction	BucketTree.get_normalized_result() Get the normalized result for the BucketTree.
protected ProbabilityFunction	QuasiBayesConvertInterchangeFormat.get_probability_function(BayesNet bn, IFProbabilityFunction upf) Method that does all the work involved in creating a * ProbabilityFunction object out of the definition * found by the parser and the information contained in * the BayesNet object; the ProbabilityFunction object may * in fact be a Quasi-Bayesian model.
protected ProbabilityFunction	ConvertInterchangeFormat.get_probability_function(BayesNet bn, IFProbabilityFunction upf)
ProbabilityFunction	BayesNet.get_probability_function(int index) Get the probability function at a given index.
ProbabilityFunction[]	BayesNet.get_probability_functions() Get the probability functions.
ProbabilityFunction[]	ConvertInterchangeFormat.get_probability_functions(BayesNet bn) Generate an array of ProbabilityFunction objects from the data structures in the IFBayesNet.
ProbabilityFunction	Inference.get_result() Get the current result of the Inference.
ProbabilityFunction[]	Explanation.get_results() Get the results in the Explanation.
ProbabilityFunction	ConstantDensityRatioSet.posterior_marginal() Perform calculation of marginal posterior distributions for.
ProbabilityFunction	EpsilonContaminatedSet.posterior_marginal() Perform calculation of marginal posterior distributions for an epsilon-contaminated global neighborhood The method assumes that the values in the EpsilonContaminated are actually unnormalized --- if not, incorrect results are produced.
ProbabilityFunction	TwoMonotoneCapacity.posterior_marginal()
private ProbabilityFunction	BucketTree.transform_to_probability_function(BayesNet bn, ProbabilityVariable pv)

Methods in pt.tumba.ngram.bayes with parameters of type ProbabilityFunction

private int	BucketTree.build_evidence_markers(ProbabilityFunction pf, boolean[] markers)
private void	BucketTree.check_evidence_loop(ProbabilityFunction new_pf, ProbabilityFunction pf)
private ProbabilityFunction	BucketTree.check_evidence(ProbabilityFunction pf)
void	BayesNet.set_probability_function(int index, ProbabilityFunction p_f) Set a probability variable given its index.
void	BayesNet.set_probability_functions(ProbabilityFunction[] pfs) Set the vector of probability functions.

Constructors in pt.tumba.ngram.bayes with parameters of type ProbabilityFunction

ConstantDensityBoundedSet(ProbabilityFunction pf, double kk)
Constructor for a ConstantDensityBoundedSet given a ProbabilityFunction object and given constant.

ConstantDensityRatioSet(ProbabilityFunction pf, double kk)
Constructor for an ConstantDensityRatioSet ProbabilityFunction object and given constant.

EpsilonContaminatedSet(ProbabilityFunction pf, double eps)
Constructor for an EpsilonContaminatedSet ProbabilityFunction object and given epsilon.

InferenceGraphNode(InferenceGraph i_g, ProbabilityVariable p_v, ProbabilityFunction p_f)

InferenceGraphNode(InferenceGraph i_g, ProbabilityVariable p_v, ProbabilityFunction p_f, java.awt.Point position)

TotalVariationSet(ProbabilityFunction pf, double eps)
Constructor for an TotalVariationQBProbabilityFunction ProbabilityFunction object and given epsilon.

TwoMonotoneCapacity(ProbabilityFunction pf)
Constructor for an TwoMonotoneCapacity ProbabilityFunction object and given epsilon.

VertexSet(ProbabilityFunction pf)
Constructor for a VertexQBProbabilityFunction.

VertexSet(ProbabilityFunction pf, double[] new_values)
Constructor for a VertexQBProbabilityFunction from a ProbabilityFunction object and new values.