List of relationalValue() Examples

Examples of relationalValue()

weka.core.Instance.relationalValue()
Returns the relational value of a relational attribute. @param attIndex the attribute's index @return the corresponding relation as an Instances object @throws IllegalArgumentException if the attribute is not arelation-valued attribute @throws UnassignedDatasetException if the instance doesn't belongto a dataset.

Examples of weka.core.Instance.relationalValue()

      else {
        mini_Inst.setValue(0, labelValue);
        max_Inst.setValue(0, labelValue);
      }


      Instances data = bag.relationalValue(1); // retrieve relational value for each bag 
      for(int j=0; j<data.numAttributes( ); j++){   
        double value;
        if(m_TransformMethod == TRANSFORMMETHOD_ARITHMETIC){
          value = data.meanOrMode(j); 
          newInst.setValue(attIdx++, value);

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Examples of weka.core.Instance.relationalValue()

    int maxSz=0;


    for(int h=0; h<nC; h++){
      Instance current = train.instance(h);
      m_Classes[h] = (int)current.classValue();  // Class value starts from 0
      Instances currInsts = current.relationalValue(1);
      int nI = currInsts.numInstances();
      bagSize[h]=nI;


      for (int i=0; i<nI;i++){
        Instance inst=currInsts.instance(i);

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Examples of weka.core.Instance.relationalValue()

    }


    for(int h=0; h<m_Data.length; h++){
      Instance current = train.instance(h);
      m_Classes[h] = (int)current.classValue();  // Class value starts from 0
      Instances currInsts = current.relationalValue(1);
      int nI = currInsts.numInstances();
      totIns += (double)nI;


      for (int i = 0; i < nR; i++) {      
        // initialize m_data[][][]

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Examples of weka.core.Instance.relationalValue()


    for(int x=0; x < numegs; x++){
      Instance example = newData.instance(x);
      example = scale(example);
      for (int i=0; i<m_Dimension; i++) {
        m_Mean[x][i] = example.relationalValue(1).meanOrMode(i);  
        m_Variance[x][i] = example.relationalValue(1).variance(i);
        if(Utils.eq(m_Variance[x][i],0.0))
          m_Variance[x][i] = m_ZERO;
        m_Change[x][i] = 1.0;
      }

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Examples of weka.core.Instance.relationalValue()

    for(int x=0; x < numegs; x++){
      Instance example = newData.instance(x);
      example = scale(example);
      for (int i=0; i<m_Dimension; i++) {
        m_Mean[x][i] = example.relationalValue(1).meanOrMode(i);  
        m_Variance[x][i] = example.relationalValue(1).variance(i);
        if(Utils.eq(m_Variance[x][i],0.0))
          m_Variance[x][i] = m_ZERO;
        m_Change[x][i] = 1.0;
      }
      /* for(int y=0; y < m_Variance[x].length; y++){

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Examples of weka.core.Instance.relationalValue()

    for(int x=0; x < numegs; x++){
      Instance example = preprocess(data, x);
      if (getDebug())
        System.out.println("???Exemplar "+x+" has been pre-processed:"+
            data.instance(x).relationalValue(1).sumOfWeights()+
            "|"+example.relationalValue(1).sumOfWeights()+
            "; class:"+m_Class[x]);
      if(Utils.gr(example.relationalValue(1).sumOfWeights(), 0)){  
        for (int i=0; i<m_Dimension; i++) {
          m_ValidM[x][i] = example.relationalValue(1).meanOrMode(i);
          m_ValidV[x][i] = example.relationalValue(1).variance(i);

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Examples of weka.core.Instance.relationalValue()

      if (getDebug())
        System.out.println("???Exemplar "+x+" has been pre-processed:"+
            data.instance(x).relationalValue(1).sumOfWeights()+
            "|"+example.relationalValue(1).sumOfWeights()+
            "; class:"+m_Class[x]);
      if(Utils.gr(example.relationalValue(1).sumOfWeights(), 0)){  
        for (int i=0; i<m_Dimension; i++) {
          m_ValidM[x][i] = example.relationalValue(1).meanOrMode(i);
          m_ValidV[x][i] = example.relationalValue(1).variance(i);
          if(Utils.eq(m_ValidV[x][i],0.0))
            m_ValidV[x][i] = m_ZERO;

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Examples of weka.core.Instance.relationalValue()

            data.instance(x).relationalValue(1).sumOfWeights()+
            "|"+example.relationalValue(1).sumOfWeights()+
            "; class:"+m_Class[x]);
      if(Utils.gr(example.relationalValue(1).sumOfWeights(), 0)){  
        for (int i=0; i<m_Dimension; i++) {
          m_ValidM[x][i] = example.relationalValue(1).meanOrMode(i);
          m_ValidV[x][i] = example.relationalValue(1).variance(i);
          if(Utils.eq(m_ValidV[x][i],0.0))
            m_ValidV[x][i] = m_ZERO;
        }
        /*  for(int y=0; y < m_ValidV[x].length; y++){

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Examples of weka.core.Instance.relationalValue()

            "|"+example.relationalValue(1).sumOfWeights()+
            "; class:"+m_Class[x]);
      if(Utils.gr(example.relationalValue(1).sumOfWeights(), 0)){  
        for (int i=0; i<m_Dimension; i++) {
          m_ValidM[x][i] = example.relationalValue(1).meanOrMode(i);
          m_ValidV[x][i] = example.relationalValue(1).variance(i);
          if(Utils.eq(m_ValidV[x][i],0.0))
            m_ValidV[x][i] = m_ZERO;
        }
        /*  for(int y=0; y < m_ValidV[x].length; y++){
                if(Utils.eq(m_ValidV[x][y],0.0))

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Examples of weka.core.Instance.relationalValue()

      dataIdx = 0;
      for(int n=0; n<N; n++){
        Instance exn = train.instance(n);
        // Prediction of each instance and the predicted class distribution
        // of the bag    
        double nn = (double)exn.relationalValue(1).numInstances();
        for(int p=0; p<nn; p++){
          Instance testIns = data.instance(dataIdx++);      
          if((int)m_Models[m].classifyInstance(testIns) 
              != (int)exn.classValue()) // Weighted instance-wise 0-1 errors
            err[n] ++;

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