Package org.data2semantics.exp.utils

Examples of org.data2semantics.exp.utils.ResultsTable.newRow()

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    ResultsTable resTable = new ResultsTable();
   
   
    resTable.newRow("WLRDF FV");
    for (double frac : fractions) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   

      RDFFeatureVectorKernel k = new RDFWLSubTreeKernel(6,3,false, true);
     
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      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    } 
    System.out.println(resTable);
   
    resTable.newRow("WLRDF Kernel");
    for (double frac : fractions) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   

      RDFGraphKernel k = new RDFWLSubTreeKernel(6,3,false, true);
     
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      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    } 
    System.out.println(resTable);
   
    resTable.newRow("WLRDF String FV");
    for (double frac : fractions) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   
      RDFFeatureVectorKernel k = new RDFWLSubTreeKernelString(6,3, false, true);
 
     
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      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    }
    System.out.println(resTable);
   
    resTable.newRow("WLRDF String Kernel");
    for (double frac : fractions) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   
      RDFGraphKernel k = new RDFWLSubTreeKernelString(6,3, false, true);
 
     
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    }
    System.out.println(resTable);
 
   
   
    resTable.newRow("RDF IST");
    for (double frac : fractions) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   
      RDFGraphKernel k = new RDFIntersectionSubTreeKernel(3,1, false, true);
 
     
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    System.out.println(resTable);
   
   
   
   
    resTable.newRow("WL FV");
    for (double frac : fractionsSlow) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   
      tic = System.currentTimeMillis();
      PropertyPredictionDataSet ds = DataSetFactory.createPropertyPredictionDataSet(new GeneralPredictionDataSetParameters(dataset, blackLists, instances, 3, false, true));
      toc = System.currentTimeMillis();
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      resTable.addResult(res);
    }   
    System.out.println(resTable);
   
   
    resTable.newRow("WL Kernel");
    for (double frac : fractionsSlow) {
      createGeoDataSet((int)(1000 * frac), frac, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasUnitClass");   
      tic = System.currentTimeMillis();
      PropertyPredictionDataSet ds = DataSetFactory.createPropertyPredictionDataSet(new GeneralPredictionDataSetParameters(dataset, blackLists, instances, 3, false, true));
      toc = System.currentTimeMillis();
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    ///*
   
    for (int th : hubThs) {
      resTableWL.newRow("Hub Threshold: " + th);
      resTableIST.newRow("Hub Threshold: " + th);

      for (List<DTNode<String,String>> hubList : hubLists) {
        boolean regDegree = false;
        int maxSize = hubList.size();
        if (hubList == regDegreeHubs) {
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    }
    System.out.println(resTable);
    */
   
    for (int depth : depths) {
      resTable.newRow("");
      for (int it : iterations) {
        RDFLinearKernelExperiment exp = new RDFLinearKernelExperiment(new RDFWLSubTreeKernel(it, depth, inference, normalize), seeds, linParms, dataset, instances, targets, blackList, evalFuncs);

        System.out.println("Running WL RDF: " + depth + " " + it);
        exp.setDoCV(true);
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System.out.println(resTable);
   
    for (int depth : depths) {
      resTable.newRow("");
      for (int it : iterations) {
        List<RDFFeatureVectorKernel> kernels = new ArrayList<RDFFeatureVectorKernel>();
        RDFWLSubTreeKernel k = new RDFWLSubTreeKernel(it, depth, inference, normalize);
       
        kernels.add(k);
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