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

Packages that use ProbabilityVariable

pt.tumba.ngram.bayes

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

Uses of ProbabilityVariable in pt.tumba.ngram.bayes

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

(package private) ProbabilityVariable	VertexSet.auxiliary_variable
protected ProbabilityVariable[]	BayesNet.probability_variables
(package private) ProbabilityVariable	InferenceGraphNode.pv
(package private) ProbabilityVariable	Bucket.variable

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

private ProbabilityVariable	VertexSet.create_auxiliary_variable(BayesNet transformed_bn) Create an auxiliar variable to indicate the vertices.
protected ProbabilityVariable[]	ConvertInterchangeFormat.create_variables(BayesNet bn, IFProbabilityFunction upf)
ProbabilityVariable	VertexSet.get_auxiliary_variable() Methods that allow basic manipulation of non-public variables.
ProbabilityVariable	BayesNet.get_probability_variable(int index) Get the probability variable at a given index.
ProbabilityVariable[]	BayesNet.get_probability_variables() Get the probability variables.
ProbabilityVariable[]	ConvertInterchangeFormat.get_probability_variables(BayesNet bn) Generate an array of ProbabilityVariable objects from the data structures in the IFBayesNet.

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

private DiscreteFunction	Expectation.construct_values(ProbabilityVariable pv, int moment_order)
ProbabilityFunction	BayesNet.get_function(ProbabilityVariable p_v) Find the ProbabilityFunction that corresponds to a given ProbabilityVariable.
private java.awt.Point	InferenceGraphNode.parse_position(ProbabilityVariable p_v)
(package private) void	QuasiBayesConvertInterchangeFormat.process_entries(BayesNet bn, IFProbabilityFunction upf, ProbabilityVariable[] variables, double[] values, double[][] extreme_points, int jump) Insert entries specified in the upf object.
(package private) void	ConvertInterchangeFormat.process_entries(BayesNet bn, IFProbabilityFunction upf, ProbabilityVariable[] variables, double[] values, int jump)
void	BayesNet.set_probability_function(int index, ProbabilityVariable[] variables, double[] values, java.util.Vector vec) Set a probability function given its constituents.
void	BayesNet.set_probability_variable(int index, ProbabilityVariable p_v) Set a probability variable given its index.
void	BayesNet.set_probability_variables(ProbabilityVariable[] pvs) Set the vector of probability variables.
private ProbabilityFunction	BucketTree.transform_to_probability_function(BayesNet bn, ProbabilityVariable pv)

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

Bucket(BucketTree bs, ProbabilityVariable pv)

Bucket(BucketTree bs, ProbabilityVariable pv, boolean dpc)

InferenceGraphNode(InferenceGraph i_g, ProbabilityVariable p_v, ProbabilityFunction p_f)

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

ProbabilityVariable(BayesNet b_n, ProbabilityVariable pv)
Constructor for ProbabilityVariable.

ProbabilityVariable(ProbabilityVariable pv)
Constructor for ProbabilityVariable.

VertexSet(BayesNet b_n, ProbabilityVariable[] pvs, double[][] ep, java.util.Vector prop)
Default constructor for a VertexQBProbabilityFunction.

VertexSet(BayesNet b_n, ProbabilityVariable[] pvs, double[] v, java.util.Vector prop, double[][] ep)
Constructor for a VertexQBProbabilityFunction.