Examples of weka.classifiers.bayes.net.ParentSet.addParent()

Class weka.classifiers.bayes.net.ParentSet

Examples of weka.classifiers.bayes.net.ParentSet.addParent()

weka.classifiers.bayes.net.ParentSet.addParent()
Add parent to parent set and update internals (specifically the cardinality of the parent set) @param nParent parent to add @param _Instances used for updating the internals

   * @param iTail
   * @param instances
   */
  void applyArcAddition(BayesNet bayesNet, int iHead, int iTail, Instances instances) {
    ParentSet bestParentSet = bayesNet.getParentSet(iHead);
    bestParentSet.addParent(iTail, instances);
    updateCache(iHead, instances.numAttributes(), bestParentSet);
  } // applyArcAddition


  /**
   *

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        return -1e100;
      }
    }


    // set up candidate parent
    oParentSet.addParent(nCandidateParent, instances);


    // calculate the score
    double fAccuracy = calcScore(m_BayesNet);


    // delete temporarily added parent

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    // calculate the score
    double fAccuracy = calcScore(m_BayesNet);


    // reinsert temporarily deleted parent
    oParentSet.addParent(nCandidateParent, iParent, instances);


    return fAccuracy;
  } // calcScoreWithMissingParent


  /**

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        return -1e100;
    }


    // set up candidate parent
    int iParent = oParentSet.deleteParent(nCandidateParent, instances);
    oParentSet2.addParent(nNode, instances);


    // calculate the score
    double fAccuracy = calcScore(m_BayesNet);


    // restate temporarily reversed arrow

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    protected void doMarkovBlanketCorrection(BayesNet bayesNet, Instances instances) {
        // Add class node as parent if it is not in the Markov Boundary
        int iClass = instances.classIndex();
        ParentSet ancestors = new ParentSet();
        int nOldSize = 0;
        ancestors.addParent(iClass, instances);
        while (nOldSize != ancestors.getNrOfParents()) {
            nOldSize = ancestors.getNrOfParents();
            for (int iNode = 0; iNode < nOldSize; iNode++) {
                int iCurrent = ancestors.getParent(iNode);
                ParentSet p = bayesNet.getParentSet(iCurrent);

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   * @param iTail
   * @param instances
   */
  void applyArcAddition(BayesNet bayesNet, int iHead, int iTail, Instances instances) {
    ParentSet bestParentSet = bayesNet.getParentSet(iHead);
    bestParentSet.addParent(iTail, instances);
    updateCache(iHead, instances.numAttributes(), bestParentSet);
  } // applyArcAddition


  /**
   *

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    if (oParentSet.contains(nCandidateParent)) {
        return -1e100;
    }


    // set up candidate parent
    oParentSet.addParent(nCandidateParent, m_BayesNet.m_Instances);


    // calculate the score
    double logScore = calcNodeScore(nNode);


    // delete temporarily added parent

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    // calculate the score
    double logScore = calcNodeScore(nNode);


    // restore temporarily deleted parent
    oParentSet.addParent(nCandidateParent, iParent, m_BayesNet.m_Instances);


    return logScore;
  } // CalcScoreWithMissingParent


  /**

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