Examples of computeFeatureVectors()

Examples of org.data2semantics.exp.old.kernels.RDFWLSubTreeKernelString.computeFeatureVectors()

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      RDFFeatureVectorKernel k = new RDFWLSubTreeKernelString(6,3, false, true);
 
     
      System.out.println("RDF WL String FV: " + frac);
      tic = System.currentTimeMillis();
      k.computeFeatureVectors(dataset, instances, blackList);
      toc = System.currentTimeMillis();
      double[] comp = {toc-tic};
      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    }
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Examples of org.data2semantics.exp.old.kernels.RDFWLSubTreeKernelString.computeFeatureVectors()

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      FeatureVectorKernel k = new WLSubTreeKernel(6,true);
     
      System.out.println("WL: " + frac);
      tic = System.currentTimeMillis();
      k.computeFeatureVectors(ds.getGraphs());
      toc = System.currentTimeMillis();
      double[] comp = {(toc-tic) + dsComp};
      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    }   
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Examples of org.data2semantics.proppred.kernels.graphkernels.FeatureVectorKernel.computeFeatureVectors()

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      FeatureVectorKernel k = new WLSubTreeKernel(6,true);
     
      System.out.println("WL: " + frac);
      tic = System.currentTimeMillis();
      k.computeFeatureVectors(ds.getGraphs());
      toc = System.currentTimeMillis();
      double[] comp = {(toc-tic) + dsComp};
      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    }   
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Examples of org.data2semantics.proppred.kernels.graphkernels.FeatureVectorKernel.computeFeatureVectors()

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        FeatureVectorKernel k = new WLSubTreeKernel(6,true);

        System.out.println("WL: " + frac);
        tic = System.currentTimeMillis();
        k.computeFeatureVectors(ds.getGraphs());
        toc = System.currentTimeMillis();
        comp[i] = (toc-tic) + dsComp;
      }
      res = new Result(comp, "comp time");
      resTable.addResult(res);
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Examples of org.data2semantics.proppred.kernels.graphkernels.WLSubTreeKernel.computeFeatureVectors()

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      FeatureVectorKernel k = new WLSubTreeKernel(6,true);
     
      System.out.println("WL: " + frac);
      tic = System.currentTimeMillis();
      k.computeFeatureVectors(ds.getGraphs());
      toc = System.currentTimeMillis();
      double[] comp = {(toc-tic) + dsComp};
      Result res = new Result(comp, "comp time");
      resTable.addResult(res);
    }   
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Examples of org.data2semantics.proppred.kernels.graphkernels.WLSubTreeKernel.computeFeatureVectors()

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        FeatureVectorKernel k = new WLSubTreeKernel(6,true);

        System.out.println("WL: " + frac);
        tic = System.currentTimeMillis();
        k.computeFeatureVectors(ds.getGraphs());
        toc = System.currentTimeMillis();
        comp[i] = (toc-tic) + dsComp;
      }
      res = new Result(comp, "comp time");
      resTable.addResult(res);
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Examples of org.data2semantics.proppred.kernels.rdfgraphkernels.RDFFeatureVectorKernel.computeFeatureVectors()

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    List<Resource> allInstances = new ArrayList<Resource>(instances);
    allInstances.addAll(testInstances);
   
    System.out.println("Computing kernel....");
    SparseVector[] fv = kernel.computeFeatureVectors(dataset, allInstances, blackList);
    System.out.println("Computing TFIDF....");
    fv = TextUtils.computeTFIDF(Arrays.asList(fv)).toArray(new SparseVector[1]);
    fv = KernelUtils.normalize(fv);
   
    SparseVector[] trainFV = Arrays.copyOfRange(fv, 0, instances.size());
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Examples of org.data2semantics.proppred.kernels.rdfgraphkernels.RDFFeatureVectorKernel.computeFeatureVectors()

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    List<Resource> allInstances = new ArrayList<Resource>(instances);
    allInstances.addAll(testInstances);
   
    System.out.println("Computing kernel....");
    SparseVector[] fv = kernel.computeFeatureVectors(dataset, allInstances, blackList);
    System.out.println("Computing TFIDF....");
    fv = TextUtils.computeTFIDF(Arrays.asList(fv)).toArray(new SparseVector[1]);
    fv = KernelUtils.normalize(fv);
   
    SparseVector[] trainFV = Arrays.copyOfRange(fv, 0, instances.size());
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Examples of org.data2semantics.proppred.kernels.rdfgraphkernels.RDFFeatureVectorKernel.computeFeatureVectors()

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        RDFFeatureVectorKernel k = new RDFWLSubTreeKernel(6,3,false, true);

        System.out.println("RDF WL FV: " + frac);
        tic = System.currentTimeMillis();
        k.computeFeatureVectors(dataset, instances, blackList);
        toc = System.currentTimeMillis();
        comp[i] = toc-tic;
      }
      Result res = new Result(comp, "RDF WL FV");
      resTable.addResult(res);
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Examples of org.data2semantics.proppred.kernels.rdfgraphkernels.RDFFeatureVectorKernel.computeFeatureVectors()

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        RDFFeatureVectorKernel k = new RDFIntersectionTreeEdgeVertexPathKernel(3,false, false, true);

        System.out.println("RDF ITP FV: " + frac);
        tic = System.currentTimeMillis();
        k.computeFeatureVectors(dataset, instances, blackList);
        toc = System.currentTimeMillis();
        comp[i] = toc-tic;
      }
      res = new Result(comp, "RDF ITP FV");
      resTable.addResult(res);
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