List of initStructure() Examples

Examples of initStructure()

weka.classifiers.bayes.BayesNet.initStructure()
Init structure initializes the structure to an empty graph or a Naive Bayes graph (depending on the -N flag). @throws Exception in case of an error

Examples of weka.classifiers.bayes.BayesNet.initStructure()

    double fBestScore = calcScore(bayesNet);  


    // initialize bestBayesNet
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // initialize population        
    BayesNetRepresentation  [] population = new BayesNetRepresentation [getPopulationSize()];

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Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // initialize bestBayesNet
    fBestScore = fCurrentScore;
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // go do the search        
        for (int iRun = 0; iRun < m_nRuns; iRun++) {

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Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // initialize bestBayesNet
    fBestScore = fCurrentScore;
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // go do the search        
        for (int iRun = 0; iRun < m_nRuns; iRun++) {

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Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // keep track of best scoring network
    double fBestScore = fCurrentScore;
    BayesNet bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);


        double fTemp = m_fTStart;
        for (int iRun = 0; iRun < m_nRuns; iRun++) {
            boolean bRunSucces = false;

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Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // keep track of best scoring network
    double fBestScore = fCurrentScore;
    BayesNet bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);


        double fTemp = m_fTStart;
        for (int iRun = 0; iRun < m_nRuns; iRun++) {
            boolean bRunSucces = false;

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Examples of weka.classifiers.bayes.BayesNet.initStructure()

    }


    // initialize bestBayesNet
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // initialize population        
    BayesNetRepresentation  [] population = new BayesNetRepresentation [getPopulationSize()];

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Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // initialize bestBayesNet
    fBestScore = fCurrentScore;
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // go do the search        
        for (int iRun = 0; iRun < m_nRuns; iRun++) {

View Full Code Here

Examples of weka.classifiers.bayes.BayesNet.initStructure()


    // initialize bestBayesNet
    fBestScore = fCurrentScore;
    bestBayesNet = new BayesNet();
    bestBayesNet.m_Instances = instances;
    bestBayesNet.initStructure();
    copyParentSets(bestBayesNet, bayesNet);
    
                
        // go do the search        
        for (int iRun = 0; iRun < m_nRuns; iRun++) {

View Full Code Here

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