Example usage for weka.associations RuleGeneration expectation

Introduction

In this page you can find the example usage for weka.associations RuleGeneration expectation.

Prototype

public static final double expectation(double ruleCount, int premiseCount, double[] midPoints,
        Hashtable<Double, Double> priors) 

Source Link

Document

calculates the expected predctive accuracy of a rule

Usage

From source file:cba.RuleItem.java

License:Open Source License

/**
 * Constructor/*from w ww .j  a va 2 s  . c  om*/
 * @param premise the premise of the future RuleItem
 * @param consequence the consequence of the future RuleItem
 * @param genTime the time of generation of the future RuleItem
 * @param ruleSupport support of the rule
 * @param m_midPoints the mid poitns of the intervals
 * @param m_priors Hashtable containing the estimated prior probablilities
 */
public RuleItem(ItemSet premise, ItemSet consequence, int genTime, int ruleSupport, double[] m_midPoints,
        Hashtable m_priors) {

    m_premise = premise;
    m_consequence = consequence;
    m_accuracy = RuleGeneration.expectation((double) ruleSupport, m_premise.m_counter, m_midPoints, m_priors);
    //overflow, underflow
    if (Double.isNaN(m_accuracy) || m_accuracy < 0) {
        m_accuracy = Double.MIN_VALUE;
    }
    m_consequence.m_counter = ruleSupport;
    m_genTime = genTime;
}

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