A B C D E G N P R S T V

A

addNode(Variable) - Method in class techniques.BN.BayesNet

B

BayesNet - class techniques.BN.BayesNet.

Maintains a bayes net

BayesNet() - Constructor for class techniques.BN.BayesNet

C

clone() - Method in class techniques.BN.Variable

clone() - Method in class techniques.BN.BayesNet

Performs a shallow copy (variables are not cloned)

coinFlip() - Static method in class techniques.utils.Random

Returns true with probability 0.5.

D

deepCopy() - Method in class techniques.BN.BayesNet

Performs a deep copy (variables are cloned)

E

EnumerationSolver - class techniques.BN.solver.EnumerationSolver.

An implementation of the most basic solver for the BayesNets.

EnumerationSolver(BayesNet) - Constructor for class techniques.BN.solver.EnumerationSolver

G

getAlarm() - Static method in class techniques.BN.Nets

Returns BayesNet as given by http://www.cs.huji.ac.il/labs/compbio/Repository/Datasets/alarm/alarm.htm

getBurglary() - Static method in class techniques.BN.Nets

Returns BayesNet as given in figure 14.2, pg494 of AIMA (2nd Edition)

getCarpo() - Static method in class techniques.BN.Nets

Returns BayesNet as given by http://www.cs.huji.ac.il/labs/compbio/Repository/Datasets/carpo/carpo.htm

getCarpoForGibbs() - Static method in class techniques.BN.Nets

Returns BayesNet where nodes probability tables do not have 0 in net.

getCompleteString() - Method in class techniques.BN.ProbTable

Returns string of variables and data in table

getEvidence() - Method in class techniques.BN.solver.Solver

getGivenValue(int) - Method in class techniques.BN.Variable

Maps number to given value

getGivenValues() - Method in class techniques.BN.Variable

Returns all given values (in an array with indices representing the mapping from number to given value)

getInsurance() - Static method in class techniques.BN.Nets

Returns BayesNet as given by http://www.cs.huji.ac.il/labs/compbio/Repository/Datasets/insurance/insurance.htm

getInsuranceForGibbs() - Static method in class techniques.BN.Nets

Returns BayesNet where nodes probability tables do not have 0 in net.

getName() - Method in class techniques.BN.Variable

Returns variable name

getNode(String) - Method in class techniques.BN.BayesNet

Returns node with given name

getNodes() - Method in class techniques.BN.BayesNet

Returns nodes in the net sorted.

getNodesWithTopologicalOrdering() - Method in class techniques.BN.BayesNet

Returns nodes in the net sorted in topological order from parents to children, i.e.

getNumOfNodes() - Method in class techniques.BN.BayesNet

getNumValues() - Method in class techniques.BN.Variable

Returns number of values used by variable

getNumVariables() - Method in class techniques.BN.ProbTable

getParents() - Method in class techniques.BN.Variable

getProb(HashMap) - Method in class techniques.BN.Variable

Used to get the probability values for the given variable evidence.

getProb(int[]) - Method in class techniques.BN.ProbTable

Same as getProb(Map) with evidence instead provided as an int array.

getProb(int, HashMap) - Method in class techniques.BN.Variable

Used to get the probability values for the given variable vaue index/number and evidence

getProb(Map) - Method in class techniques.BN.ProbTable

Used to get the probability values for the given variable evidence.

getProb(Variable) - Method in class techniques.BN.solver.Solver

getProb(Variable) - Method in class techniques.BN.solver.EnumerationSolver

getProbTable() - Method in class techniques.BN.Variable

Returns cond.

getTableAsString() - Method in class techniques.BN.ProbTable

getTableSize() - Method in class techniques.BN.ProbTable

Returns size of the underlying table.

getTableSize(Variable[]) - Static method in class techniques.BN.ProbTable

Returns size of the table that would be formed from the given variables

getValNdx(Object) - Method in class techniques.BN.Variable

Maps given value to number

getValues() - Method in class techniques.BN.Variable

Just returns all numbers from 0 to getNumValues()

getVariable(int) - Method in class techniques.BN.ProbTable

getVariables() - Method in class techniques.BN.ProbTable

getVariablesIterator() - Method in class techniques.BN.ProbTable

Returns an iterator through a set of all entries (variable-value combinations for the variables) in the table.

getVarString() - Method in class techniques.BN.ProbTable

Returns string of variables in table

N

Nets - class techniques.BN.Nets.

Creates a number of different BayesNets

Nets() - Constructor for class techniques.BN.Nets

P

printNetwork() - Method in class techniques.BN.BayesNet

ProbTable - class techniques.BN.ProbTable.

Represents a probability table, and can be thought of as a maintainer of functions of discrete types.

ProbTable(Variable) - Constructor for class techniques.BN.ProbTable

ProbTable(Variable[]) - Constructor for class techniques.BN.ProbTable

R

Random - class techniques.utils.Random.

Random() - Constructor for class techniques.utils.Random

random(int) - Static method in class techniques.utils.Random

Returns uniformly a number between 0 and max-1 (inclusive)

removeZeros(BayesNet) - Static method in class techniques.BN.Nets

S

sampleCompleteProbDist(double[]) - Static method in class techniques.utils.Random

Samples from input based on given complete probability distribution (prob.

samplePartialProbDist(double[]) - Static method in class techniques.utils.Random

Samples from input based on given probability distribution.

setEvidence(HashMap) - Method in class techniques.BN.solver.Solver

setEvidenceGivenVal(HashMap) - Method in class techniques.BN.solver.Solver

setParent(Variable) - Method in class techniques.BN.Variable

set parents for the conditional prob.

setParents(Variable[]) - Method in class techniques.BN.Variable

set parents for the conditional prob.

setProb(int[], double) - Method in class techniques.BN.ProbTable

setProb(int, double[]) - Method in class techniques.BN.Variable

Used to set the condition probability table values for the given variable vaue index/number

setProb(Map, double) - Method in class techniques.BN.ProbTable

All values for variables in the table are needed to be in the map for successful completion of the method

setTableValue(HashMap, double) - Method in class techniques.BN.ProbTable

Sets the probability table value given all the values for the parents of the current prob.

setTableValue(int[], double) - Method in class techniques.BN.ProbTable

Sets the probability table value given all the values for the parents of the current prob.

setTableValues(HashMap, double[]) - Method in class techniques.BN.ProbTable

Sets the probability tables values given the first few variable values for the current prob.

setTrueProb(double[]) - Method in class techniques.BN.Variable

Used to set the condition probability table values by only providing values for variable given value being Boolean.TRUE (the method calculate values for Boolean.FALSE).

Solver - class techniques.BN.solver.Solver.

Provides some helpful functionality, like maintaining the evidence variables that are needed for implementing BayesNet solvers.

Solver(BayesNet) - Constructor for class techniques.BN.solver.Solver

T

table - Variable in class techniques.BN.ProbTable

techniques.BN - package techniques.BN

techniques.BN.solver - package techniques.BN.solver

techniques.utils - package techniques.utils

toString() - Method in class techniques.BN.Variable

toString() - Method in class techniques.BN.ProbTable

V

Variable - class techniques.BN.Variable.

Represents a variable in a bayes net, and beyond the variable name stores the possible values and the conditional probability table for the variable.

Variable(String) - Constructor for class techniques.BN.Variable

Variable(String, Object[]) - Constructor for class techniques.BN.Variable

A B C D E G N P R S T V