Examples with structures._ChildDoc structures._ChildDoc used on opensource projects

Example 31 with structures._ChildDoc

use of structures._ChildDoc in project IR_Base by Linda-sunshine.

the class ACCTM_CZLR method initTest4Spam.

public void initTest4Spam(ArrayList<_Doc> sampleTestSet, _Doc d) {
    _ParentDoc pDoc = (_ParentDoc) d;
    pDoc.setTopics4Gibbs(number_of_topics, 0);
    for (_Stn stnObj : pDoc.getSentences()) {
        stnObj.setTopicsVct(number_of_topics);
    }
    sampleTestSet.add(pDoc);
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        ((_ChildDoc4BaseWithPhi) cDoc).createXSpace(number_of_topics, m_gamma.length, vocabulary_size, d_beta);
        ((_ChildDoc4BaseWithPhi) cDoc).setTopics4Gibbs(number_of_topics, 0);
        sampleTestSet.add(cDoc);
        cDoc.setParentDoc(pDoc);
        computeMu4Doc(cDoc);
    }
    setFeatures4Word(sampleTestSet);
}

Example 32 with structures._ChildDoc

use of structures._ChildDoc in project IR_Base by Linda-sunshine.

the class ACCTM_C_test method rankStn4ChildBySim.

protected HashMap<Integer, Double> rankStn4ChildBySim(_ParentDoc pDoc, _ChildDoc cDoc) {
    HashMap<Integer, Double> stnSimMap = new HashMap<Integer, Double>();
    for (_Stn stnObj : pDoc.getSentences()) {
        double stnKL = Utils.klDivergence(cDoc.m_xTopics[0], stnObj.m_topics);
        stnSimMap.put(stnObj.getIndex() + 1, -stnKL);
    }
    return stnSimMap;
}

Example 33 with structures._ChildDoc

use of structures._ChildDoc in project IR_Base by Linda-sunshine.

the class ACCTM_C_test method rankChild4StnByLikelihood.

protected HashMap<String, Double> rankChild4StnByLikelihood(_Stn stnObj, _ParentDoc pDoc) {
    double gammaLen = Utils.sumOfArray(m_gamma);
    HashMap<String, Double> childLikelihoodMap = new HashMap<String, Double>();
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        double cDocTopicSum = Utils.sumOfArray(cDoc.m_xSstat);
        double stnLogLikelihood = 0;
        for (_Word w : stnObj.getWords()) {
            int wid = w.getIndex();
            double wordLogLikelihood = 0;
            for (int k = 0; k < number_of_topics; k++) {
                // double wordPerTopicLikelihood = childWordByTopicProb(k, wid)
                // * childTopicInDocProb(k, cDoc)
                // * childXInDocProb(0, cDoc)
                // / (gammaLen + cDocTopicSum);
                double wordPerTopicLikelihood = childWordByTopicProb(k, wid) * childTopicInDoc(k, cDoc);
                wordLogLikelihood += wordPerTopicLikelihood;
            }
            stnLogLikelihood += Math.log(wordLogLikelihood);
        }
        childLikelihoodMap.put(cDoc.getName(), stnLogLikelihood);
    }
    return childLikelihoodMap;
}

Example 34 with structures._ChildDoc

use of structures._ChildDoc in project IR_Base by Linda-sunshine.

the class ACCTM_C_test method debugOutput.

public void debugOutput(int topK, String filePrefix) {
    File parentTopicFolder = new File(filePrefix + "parentTopicAssignment");
    File childTopicFolder = new File(filePrefix + "childTopicAssignment");
    File childLocalWordTopicFolder = new File(filePrefix + "childLocalTopic");
    if (!parentTopicFolder.exists()) {
        System.out.println("creating directory" + parentTopicFolder);
        parentTopicFolder.mkdir();
    }
    if (!childTopicFolder.exists()) {
        System.out.println("creating directory" + childTopicFolder);
        childTopicFolder.mkdir();
    }
    if (!childLocalWordTopicFolder.exists()) {
        System.out.println("creating directory" + childLocalWordTopicFolder);
        childLocalWordTopicFolder.mkdir();
    }
    File parentPhiFolder = new File(filePrefix + "parentPhi");
    File childPhiFolder = new File(filePrefix + "childPhi");
    if (!parentPhiFolder.exists()) {
        System.out.println("creating directory" + parentPhiFolder);
        parentPhiFolder.mkdir();
    }
    if (!childPhiFolder.exists()) {
        System.out.println("creating directory" + childPhiFolder);
        childPhiFolder.mkdir();
    }
    File childXFolder = new File(filePrefix + "xValue");
    if (!childXFolder.exists()) {
        System.out.println("creating x Value directory" + childXFolder);
        childXFolder.mkdir();
    }
    for (_Doc d : m_trainSet) {
        if (d instanceof _ParentDoc) {
            printParentTopicAssignment(d, parentTopicFolder);
            printParentPhi(d, parentPhiFolder);
        } else if (d instanceof _ChildDoc) {
            printChildTopicAssignment(d, childTopicFolder);
            printChildLocalWordTopicDistribution((_ChildDoc4BaseWithPhi) d, childLocalWordTopicFolder);
            printXValue(d, childXFolder);
        }
    }
    String parentParameterFile = filePrefix + "parentParameter.txt";
    String childParameterFile = filePrefix + "childParameter.txt";
    printParameter(parentParameterFile, childParameterFile, m_trainSet);
    String xProportionFile = filePrefix + "childXProportion.txt";
    printXProportion(xProportionFile, m_trainSet);
    String similarityFile = filePrefix + "topicSimilarity.txt";
    printEntropy(filePrefix);
    int topKStn = 10;
    int topKChild = 10;
    printTopKChild4Stn(filePrefix, topKChild);
}

Example 35 with structures._ChildDoc

use of structures._ChildDoc in project IR_Base by Linda-sunshine.

the class ACCTM_test method rankChild4StnByLikelihood.

protected HashMap<String, Double> rankChild4StnByLikelihood(_Stn stnObj, _ParentDoc pDoc) {
    HashMap<String, Double> childLikelihoodMap = new HashMap<String, Double>();
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        double stnLogLikelihood = 0;
        for (_Word w : stnObj.getWords()) {
            int wid = w.getIndex();
            double wordLogLikelihood = 0;
            for (int k = 0; k < number_of_topics; k++) {
                double wordPerTopicLikelihood = childWordByTopicProb(k, wid) * childTopicInDocProb(k, cDoc);
                wordLogLikelihood += wordPerTopicLikelihood;
            }
            stnLogLikelihood += Math.log(wordLogLikelihood);
        }
        childLikelihoodMap.put(cDoc.getName(), stnLogLikelihood);
    }
    return childLikelihoodMap;
}