Package org.data2semantics.exp.utils

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

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    ResultsTable resTable = new ResultsTable();

    for (double frac : fractions) {
      resTable.newRow("");

      //resTable.newRow("WLRDF FV");
      //for (double frac : fractions) {
      double[] comp = new double[seeds.length];
      for (int i = 0; i < seeds.length; i++) {
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      System.out.println("Running fraction: " + frac);

     
      for (int i : depths) {     
        for (int it : iterations) {
          resTable.newRow(""); 

          KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(new RDFWLSubTreeKernel(it, i, inference, true), seeds, linParms, dataset, instances, target, blackList, evalFuncs);
       
          System.out.println("Running WL RDF: " + i + " " + it);
          exp.run();
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      }
     

      for (int i : depths) {     
        //for (int it : iterations) {
          resTable.newRow(""); 

          //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(new RDFWLSubTreeKernel(it, i, inference, true), seeds, linParms, dataset, instances, target, blackList, evalFuncs);

          KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(new RDFIntersectionTreeEdgeVertexPathKernel(i, false, inference, true), seeds, linParms, dataset, instances, target, blackList, evalFuncs);
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    resTable.setManWU(0.05);
    resTable.setDigits(3);

    boolean inference = true;
    for (int d : depths) {
      resTable.newRow("");
      for (int it : iterations) {

        List<List<Result>> res = new ArrayList<List<Result>>();
        for (long seed : seeds) {
          long[] s2 = {seed};
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    for (int i : depths) {     
      for (int it : iterations) {
        resTable.newRow("");

        LibLINEARParameters linParms = new LibLINEARParameters(LibLINEARParameters.SVC_DUAL, cs);
        KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(new RDFWLSubTreeKernel(it, i, inference, true), seeds, linParms, dataset, instances, target, blackList, evalFuncs);

        System.out.println("Running WL RDF: " + i + " " + it);
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      }
    }
    System.out.println(resTable);

    for (int i : depths) {     
      resTable.newRow("");

      LibLINEARParameters linParms = new LibLINEARParameters(LibLINEARParameters.SVC_DUAL, cs);
      KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(new RDFIntersectionTreeEdgeVertexPathKernel(i, false, inference, true), seeds, linParms, dataset, instances, target, blackList, evalFuncs);

      System.out.println("Running EVP: " + i);
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      } 
    }
    System.out.println(resTable);
   
    for (int i : depths) {     
      resTable.newRow("");

      LibSVMParameters svmParms = new LibSVMParameters(LibSVMParameters.C_SVC, cs);
   
      KernelExperiment<RDFGraphKernel> exp = new RDFOldKernelExperiment(new RDFIntersectionSubTreeKernel(i, 1, inference, true), seeds, svmParms, dataset, instances, labels, blackList);
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            System.out.println("Running STP, it " + i + " on " + dataset.getLabel());
          }
        }
       
        resultsIGPadd.newRow(dataset.getLabel() + " IntersectionGraphPath");
        for (int i = 1; i < 3; i++) {
          if (experimenter.hasSpace()) {   
            int fileId = (int) (Math.random() * 100000000); 
            File file = new File(DATA_DIR + fileId + "_" + "IntersectionGraphPath" + "_" + i + ".txt");
            exp = new PropertyPredictionExperiment(new PropertyPredictionDataSet(dataset), new IntersectionGraphPathKernel(i, 1), seeds, cs, new FileOutputStream(file));
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