Package org.data2semantics.exp.utils

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

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    System.out.println(resTable);

   

    for (int i : depths) { 
      resTable.newRow("IST, depth="+i); 

      List<List<Result>> res = new ArrayList<List<Result>>();
      for (long seed : seeds) {
        long[] seeds2 = {seed};
        createGeoDataSet((int)(1000 * fraction), fraction, seed, "http://data.bgs.ac.uk/ref/Lexicon/hasTheme");
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    ///*
    for (int i : depths) {     
      resTable.newRow("RDF WL forward");
      for (int it : iterations) {
        RDFWLSubTreeKernel k = new RDFWLSubTreeKernel(it, i, inference, true, forward, false);
       
        //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(k, seeds, linParms, dataset, instances, target, blackList, evalFuncs);
        KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);
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    }
    //*/

    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF WL forward Degree " + h);
        for (int it : iterations) {
          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, inference, true, forward);
          k.setHubMap(GraphUtils.createHubMap(degreeHubs, h));

          //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(k, seeds, linParms, dataset, instances, target, blackList, evalFuncs);
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    ///*
    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF WL forward SB " + h);
        for (int it : iterations) {
          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, inference, true, forward);
          k.setHubMap(GraphUtils.createHubMap(hubs, h));

          //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(k, seeds, linParms, dataset, instances, target, blackList, evalFuncs);
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    for (int d : depths) {
      resTable.newRow("WL RDF, depth="+d);
      for (int it : iterations) {
        RDFWLSubTreeKernel k = new RDFWLSubTreeKernel(it, d, inference, true);
       
        RDFOldKernelExperiment exp = new RDFOldKernelExperiment(k, seeds, svmParms, dataset, instances, labels, blackList);
       
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    System.out.println(resTable);
   


    for (int d : depths) {
      resTable.newRow("WL RDF BoW, depth="+d);
      for (int it : iterations) {
        RDFWLSubTreeWithTextKernel k = new RDFWLSubTreeWithTextKernel(it, d, inference, false);
        k.setDoTFIDFkernel(true);
       
        RDFOldKernelExperiment exp = new RDFOldKernelExperiment(k, seeds, svmParms, dataset, instances, labels, blackList);
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    for (int d : depths) {
      resTable.newRow("ITP, depth="+d);

      RDFOldKernelExperiment exp = new RDFOldKernelExperiment(new RDFIntersectionTreeEdgeVertexPathKernel(d, false, inference, true), seeds, svmParms, dataset, instances, labels, blackList);

      System.out.println("Running Edge Vertex Tree Path: " + d);
      exp.run();
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    System.out.println(resTable);
   


    for (int d : depths) {
      resTable.newRow("ITP BoW, depth="+d);

     
      RDFIntersectionTreeEdgeVertexPathWithTextKernel k = new RDFIntersectionTreeEdgeVertexPathWithTextKernel(d, false, inference, false);
      k.setDoTFIDFkernel(true);
     
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    }
    System.out.println(resTable);

   
    for (int d : depths) {
      resTable.newRow("IST, depth="+d);

      RDFOldKernelExperiment exp = new RDFOldKernelExperiment(new RDFIntersectionSubTreeKernel(d, 1, inference, true), seeds, svmParms, dataset, instances, labels, blackList);

      System.out.println("Running IST: " + d);
      exp.run();
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    System.out.println(resTable);
    */


    for (int d : depths) {
      resTable.newRow("WL RDF, depth="+d);
      for (int it : iterations) {
        RDFWLSubTreeWithTextKernel k = new RDFWLSubTreeWithTextKernel(it, d, inference, false);
        //k.setIgnoreLiterals(false);
       
        //RDFOldKernelExperiment exp = new RDFOldKernelExperiment(k, seeds, svmParms, dataset, instances, labels, blackList);
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