C++ (Cpp) Index::docLengthAvg示例

lemur::retrieval::RetMethod::RetMethod(const Index &dbIndex,
                                       const string &supportFileName,
                                       ScoreAccumulator &accumulator) :
    TextQueryRetMethod(dbIndex, accumulator), supportFile(supportFileName) {

    //docParam.smthMethod = RetParameter::defaultSmoothMethod;
    docParam.smthMethod = RetParameter::DIRICHLETPRIOR;
    //docParam.smthMethod = RetParameter::ABSOLUTEDISCOUNT;
    //docParam.smthMethod = RetParameter::JELINEKMERCER;

    docParam.smthStrategy= RetParameter::defaultSmoothStrategy;
    //docParam.ADDelta = RetParameter::defaultADDelta;
    docParam.JMLambda = RetParameter::defaultJMLambda;
    //docParam.JMLambda = 0.9;
    docParam.DirPrior = dbIndex.docLengthAvg();//50;//RetParameter::defaultDirPrior;

    qryParam.adjScoreMethod = RetParameter::NEGATIVEKLD;
    //qryParam.adjScoreMethod = RetParameter::QUERYLIKELIHOOD;
    //qryParam.fbMethod = RetParameter::defaultFBMethod;
    //qryParam.fbMethod = RetParameter::DIVMIN;




    qryParam.fbMethod = RetParameter::MIXTURE;
    RM="MIX";// *** Query Likelihood adjusted score method *** //
    //qryParam.fbCoeff = RetParameter::defaultFBCoeff;
    qryParam.fbCoeff =0.5;
    qryParam.fbPrTh = RetParameter::defaultFBPrTh;
    qryParam.fbPrSumTh = RetParameter::defaultFBPrSumTh;
    qryParam.fbTermCount = 5;//RetParameter::defaultFBTermCount;
    qryParam.fbMixtureNoise = RetParameter::defaultFBMixNoise;
    qryParam.emIterations = 50;//RetParameter::defaultEMIterations;

    docProbMass = NULL;
    uniqueTermCount = NULL;
    mcNorm = NULL;

    NegMu = ind.docLengthAvg();
    collectLMCounter = new lemur::langmod::DocUnigramCounter(ind);
    collectLM = new lemur::langmod::MLUnigramLM(*collectLMCounter, ind.termLexiconID());

    delta = 0.007;

    newNonRelRecieved = false;
    newRelRecieved = false;
    newNonRelRecievedCnt = 0,newRelRecievedCnt =0;

    switch (RSMethodHM)
    {
    case 0://lm
        // setThreshold(-4.3);
        setThreshold(-6.3);

        break;
    case 1://negGen
    {
        if(negGenModeHM==0)//col//mu=2500
            // setThreshold(2.1);
            setThreshold(1.5);
        else if(negGenModeHM == 1)
            // setThreshold(2.4);
            setThreshold(1.6);
        break;
    }
    }

    //prev_distQuery = new double[ind.termCountUnique()+1];
    scFunc = new ScoreFunc();
    scFunc->setScoreMethod(qryParam.adjScoreMethod);
}