Examples of org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionTreeEdgeVertexPathWithTextKernel.computeFeatureVectors()

org.data2semantics.proppred.kernels.rdfgraphkernels.RDFIntersectionTreeEdgeVertexPathWithTextKernel.computeFeatureVectors()

    
    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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      List<Double> tempLabelsBins = new ArrayList<Double>();
      tempLabels.addAll(target);
      tempLabelsBins.addAll(targetBins);


      tic = System.currentTimeMillis();
      SparseVector[] fv = kernel.computeFeatureVectors(dataset, instances, blackList);
      toc = System.currentTimeMillis();


      fv = TextUtils.computeTFIDF(Arrays.asList(fv)).toArray(new SparseVector[1]);
      fv = KernelUtils.normalize(fv);

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        List<Double> tempLabelsBins = new ArrayList<Double>();
        tempLabels.addAll(target);
        tempLabelsBins.addAll(targetBins);


        tic = System.currentTimeMillis();
        SparseVector[] fv = kernel.computeFeatureVectors(dataset, instances, blackList);
        toc = System.currentTimeMillis();


        fv = TextUtils.computeTFIDF(Arrays.asList(fv)).toArray(new SparseVector[1]);
        fv = KernelUtils.normalize(fv);

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        RDFFeatureVectorKernel k = new RDFIntersectionTreeEdgeVertexPathWithTextKernel(3,false, false, false);


        System.out.println("EVP text FV: " + frac);
        tic = System.currentTimeMillis();
        TextUtils.computeTFIDF(Arrays.asList(k.computeFeatureVectors(dataset, instances, blackList)));        
        toc = System.currentTimeMillis();
        comp[i] = toc-tic;
      }
      res = new Result(comp, "comp time");
      resTable.addResult(res);

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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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