planner.avclPlan.reversePlan

Class NBProbabilityLoader

java.lang.Object

planner.avclPlan.reversePlan.NBProbabilityLoader

public class NBProbabilityLoader
extends Object

Provides static methods for computing or loading Naive Bayes probabilities

Author:

dtdavis

Constructor Summary

Constructors

Constructor and Description
NBProbabilityLoader()

Method Summary

Methods

Modifier and Type	Method and Description
protected static void	computeFromExamples(NBScriptClassifier classifier, double[] pResult, double[][] pCharacteristic, double[][][] condPCharacteristic, int exclude) Loads the /** Computes the probabilities based on the characteristics of the set of examples
protected static void	loadDefaults(NBScriptClassifier classifier, double[] pResult, double[][] pCharacteristic, double[][][] condPCharacteristic) Loads the probability arrays with values computed off line

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NBProbabilityLoader

public NBProbabilityLoader()

Method Detail

loadDefaults

protected static void loadDefaults(NBScriptClassifier classifier,
                double[] pResult,
                double[][] pCharacteristic,
                double[][][] condPCharacteristic)

Loads the probability arrays with values computed off line

Parameters:

classifier - Naive Bayes classifier to which the probabilities apply

pResult - array of baseline probabilities of each result

pCharacteristic - array of baseline probabilities of each characteristic

condPCharacteristic - conditional probabilities of each characteristic

computeFromExamples

protected static void computeFromExamples(NBScriptClassifier classifier,
                       double[] pResult,
                       double[][] pCharacteristic,
                       double[][][] condPCharacteristic,
                       int exclude)

Loads the /** Computes the probabilities based on the characteristics of the set of examples

Parameters:

classifier - Naive Bayes classifier to which the probabilities apply

pResult - array of baseline probabilities of each result

pCharacteristic - array of baseline probabilities of each characteristic

condPCharacteristic - conditional probabilities of each characteristic

exclude - example case to exclude from the calculation