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

Packages that use DiscreteVariable

pt.tumba.ngram.bayes

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

Uses of DiscreteVariable in pt.tumba.ngram.bayes

Subclasses of DiscreteVariable in pt.tumba.ngram.bayes

class

ProbabilityVariable ***************************************************************

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

protected DiscreteVariable[]

DiscreteFunction.variables

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

DiscreteVariable	DiscreteFunction.get_variable(int index) Get a variable in the current DiscreteFunction.
DiscreteVariable[]	DiscreteFunction.get_variables() Get the variables in the current DiscreteFunction.

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

double	DiscreteFunction.evaluate(DiscreteVariable[] pvs, int[] value_indexes) Evaluate a function given a (possibly partial) instantiation of variables through the indexes.
private InferenceGraphNode	InferenceGraph.get_node(DiscreteVariable dv)
int	DiscreteFunction.get_position_from_indexes(DiscreteVariable[] pvs, int[] variable_indexes) Get position in a function from a (possibly partial) instantiation of variables through the indexes.
private void	Ordering.interconnect(BayesNet bn, java.util.Vector[] vectors, DiscreteVariable[] variables_to_be_interconnected)
private void	Ordering.interconnect(BayesNet bn, java.util.Vector[] vectors, DiscreteVariable pvi, DiscreteVariable pvj)
DiscreteFunction	DiscreteFunction.multiply(DiscreteVariable[] dvs, DiscreteFunction mult) Multiply two DiscreteFunction objects.
void	DiscreteFunction.set_variable(int index, DiscreteVariable dv) Set a DiscreteVariable in the current DiscreteFunction given its position in the array of values.
DiscreteFunction	DiscreteFunction.sum_out(DiscreteVariable[] dvs, boolean[] markers) Sum out some variables in the function.

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

DiscreteFunction(DiscreteVariable[] pvs, double[] v)
Simple constructor for DiscreteFunction.

DiscreteVariable(DiscreteVariable dv)
Simple constructor for DiscreteVariable.

FinitelyGeneratedSet(BayesNet b_n, DiscreteVariable[] pvs, double[] v, double[] lp, double[] up, java.util.Vector prop)
Constructor for FinitelyGeneratedSet.

FinitelyGeneratedSet(BayesNet b_n, DiscreteVariable[] pvs, double[] v, java.util.Vector prop)
Constructor for FinitelyGeneratedSet.

ProbabilityFunction(BayesNet b_n, DiscreteVariable[] pvs, double[] v, java.util.Vector prop)
Constructor for ProbabilityFunction.

QBProbabilityFunction(BayesNet b_n, DiscreteVariable[] dvs, double[] v, double[] lp, double[] up, java.util.Vector prop)
Constructor for ProbabilityFunction.