Package org.data2semantics.exp.utils

Examples of org.data2semantics.exp.utils.RDFGraphKernelExperiment

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      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);


        System.out.println("Running WL RDF fwd: " + i + " " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    //*/

    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);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);


          System.out.println("Running WL RDF fwd Degree: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
    }
    System.out.println(resTable);
   

    ///*
    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);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);


          System.out.println("Running WL RDF fwd SB: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
    }
View Full Code Here
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      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);


        System.out.println("Running WL RDF fwd: " + i + " " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    resTable.addCompResults(resTable.getBestResults());
    //resTable.addCompResults(table2.getBestResults());
    System.out.println(resTable);
   
   
    //*/

    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);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);


          System.out.println("Running WL RDF fwd Degree: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
      resTable.addCompResults(resTable.getBestResults());
      //resTable.addCompResults(table2.getBestResults());
      System.out.println(resTable);
    }
   
   

    ///*
    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);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);


          System.out.println("Running WL RDF fwd SB: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
      resTable.addCompResults(resTable.getBestResults());
View Full Code Here
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      for (int it : iterations2) {   
        resTable.newRow("WL RDF, " + d + ", " + it);
       
        RDFWLSubTreeKernel k = new RDFWLSubTreeKernel(it, d, false, true, true, false);
       
        RDFGraphKernelExperiment exp = new RDFGraphKernelExperiment(k, seeds, svmParms, ts, instances, labels, new ArrayList<Statement>(), evalFuncs);

        System.out.println("Running WL RDF, it: " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        }
      }
      System.out.println(resTable);
    }


    for (int d = 1; d < 4; d++) {
      resTable.newRow("WL RDF type, d " + d);
      for (int it : iterations2) {   

        RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, d, false, true, true);
        k.setHubMap(GraphUtils.createRDFTypeHubMap(ts, false));

        RDFGraphKernelExperiment exp = new RDFGraphKernelExperiment(k, seeds, svmParms, ts, instances, labels, new ArrayList<Statement>(), evalFuncs);

        System.out.println("Running WL RDF, type it: " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        }
      }
      System.out.println(resTable);
    }
    //*/

    int[] hf = {0,1,2,3,4,5,6,7};

    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF WL NonSig " + h);
        for (int it : iterations2) {
          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, false, true, true);
          k.setHubMap(GraphUtils.createNonSigHubMap(nonSigDegreeHubs, h));

          //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(k, seeds, linParms, dataset, instances, target, blackList, evalFuncs);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, ts, instances, labels, new ArrayList<Statement>(), evalFuncs);


          System.out.println("Running WL RDF NonSig: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
      System.out.println(resTable);
    }
   
    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF WL SB " + h);
        for (int it : iterations2) {
          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, false, true, true);
          k.setHubMap(GraphUtils.createHubMap(hubs, h));

          //KernelExperiment<RDFFeatureVectorKernel> exp = new RDFLinearKernelExperiment(k, seeds, linParms, dataset, instances, target, blackList, evalFuncs);
          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, ts, instances, labels, new ArrayList<Statement>(), evalFuncs);


          System.out.println("Running WL RDF SB: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
      System.out.println(resTable);
View Full Code Here
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      for (int it : iterations) {
        resTable.newRow("RDF WL, " + i + ", " + it);

        RDFWLSubTreeKernel k = new RDFWLSubTreeKernel(it, i, inference, true, forward, false);

        KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

        System.out.println("Running WL RDF: " + i + " " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    System.out.println(resTable);
    //*/


    ///*
    for (int i : depths) {     
      for (int it : iterations) {
        resTable.newRow("RDF WL TYPE, " + i + ", " + it);

        RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, inference, true, forward);
        k.setHubMap(GraphUtils.createRDFTypeHubMap(dataset, inference));
        k.setRelabel(relabel);
       
        KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

        System.out.println("Running WL RDF TYPE: " + i + " " + it);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    System.out.println(resTable);


    ///*
    for (int h : hf) {
      for (int i : depths) {     
        for (int it : iterations) {
          resTable.newRow("RDF WL Regular Degree, " + h + ", " + i + ", " + it);

          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, inference, true, forward);
          k.setHubMap(GraphUtils.createNonSigHubMap(nonSigDegreeHubs, h));
          k.setRelabel(relabel);

          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

          System.out.println("Running WL RDF Regular Degree: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
    }
    System.out.println(resTable);
    //*/


    ///*
    for (int h : hf) {
      for (int i : depths) {     
        for (int it : iterations) {
          resTable.newRow("RDF WL Signature Degree (SB), " + h + ", " + i + ", " + it);

          RDFWLSubTreeSlashBurnKernel k = new RDFWLSubTreeSlashBurnKernel(it, i, inference, true, forward);
          k.setHubMap(GraphUtils.createHubMap(hubs, h));
          k.setRelabel(relabel);

          KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

          System.out.println("Running WL RDF fwd SB: " + i + " " + it + " " + h);
          exp.run();

          for (Result res : exp.getResults()) {
            resTable.addResult(res);
          } 
        }
      }
    }
    System.out.println(resTable);
    //*/

    ///*
    for (int i : depths) {     
      resTable.newRow("RDF IST, " + i);
      RDFIntersectionSubTreeKernel k = new RDFIntersectionSubTreeKernel(i, 1, inference, true);
     
      KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

      System.out.println("Running RDF IST: " + i);
      exp.run();

      for (Result res : exp.getResults()) {
        resTable.addResult(res);
      } 
    }
    System.out.println(resTable);
    //*/

    ///*
    for (int i : depths) {     
      resTable.newRow("RDF IST TYPE, " + i);
      RDFIntersectionSubTreeSlashBurnKernel k = new RDFIntersectionSubTreeSlashBurnKernel(i, 1, inference, true);
      k.setHubMap(GraphUtils.createRDFTypeHubMap(dataset, inference));

      KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

      System.out.println("Running RDF IST TYPE: " + i);
      exp.run();

      for (Result res : exp.getResults()) {
        resTable.addResult(res);
      } 
    }
    System.out.println(resTable);
    //*/


    ///*
    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF IST Regular Degree, " + h + ", " + i);
        RDFIntersectionSubTreeSlashBurnKernel k = new RDFIntersectionSubTreeSlashBurnKernel(i, 1, inference, true);
        k.setHubMap(GraphUtils.createNonSigHubMap(nonSigDegreeHubs, h));

        KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

        System.out.println("Running RDF IST Regular Degree: " + i + " " + h);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    System.out.println(resTable);
    //*/


    ///*
    for (int h : hf) {
      for (int i : depths) {     
        resTable.newRow("RDF IST Signature Degree (SB), " + h + ", " + i);
        RDFIntersectionSubTreeSlashBurnKernel k = new RDFIntersectionSubTreeSlashBurnKernel(i, 1, inference, true);
        k.setHubMap(GraphUtils.createHubMap(hubs, h));

        KernelExperiment<RDFGraphKernel> exp = new RDFGraphKernelExperiment(k, seeds, svmParms, dataset, instances, target, blackList, evalFuncs);

        System.out.println("Running RDF IST Signature Degree (SB): " + i + " " + h);
        exp.run();

        for (Result res : exp.getResults()) {
          resTable.addResult(res);
        } 
      }
    }
    System.out.println(resTable);
View Full Code Here
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Related Classes of org.data2semantics.exp.utils.RDFGraphKernelExperiment

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