Examples of buildMRF()

Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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      // compute features for each model
      for(String modelName : modelNames) {
        // build mrf from model node
        Node modelNode = runner.getModel(modelName);
        MRFBuilder builder = MRFBuilder.get(env, modelNode);     
        MarkovRandomField mrf = builder.buildMRF(env.tokenize(queryText));

        // get mrf cliques
        List<Clique> cliques = mrf.getCliques();

        // add parameter name to feature name set
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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      // compute features for each model
      for(String modelName : modelNames) {
        // build mrf from model node
        Node modelNode = runner.getModel(modelName);
        MRFBuilder builder = MRFBuilder.get(env, modelNode);     
        MarkovRandomField mrf = builder.buildMRF(env.tokenize(queryText));

        // initialize mrf
        mrf.initialize();

        // get mrf cliques
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // get mrf cliques
      List<Clique> cliques = mrf.getCliques();

      // add parameter name to feature name set
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // initialize mrf
       mrf.initialize();

       // get mrf cliques
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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        // The current concept.
        String concept = vocab[conceptID].getKey();

        String[] concepts = concept.split(" ");
        MarkovRandomField conceptMRF = curBuilder.buildMRF(concepts);

        MRFDocumentRanker ranker = new MRFDocumentRanker(conceptMRF, docSet, docSet.length);
        Accumulator[] conceptResults = ranker.rank();
        Arrays.sort(conceptResults, new Accumulator.DocnoComparator());
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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      for (int i = 0; i < numTerms; i++) {
        Accumulator a = bestConcepts[i];

        // Construct the MRF corresponding to this concept.
        String[] concepts = vocab[a.docno].getKey().split(" ");
        MarkovRandomField conceptMRF = curBuilder.buildMRF(concepts);

        // Normalized score.
        float normalizedScore = a.score / totalWt;

        // Add cliques.
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // get mrf cliques
      List<Clique> cliques = mrf.getCliques();

      // add parameter name to feature name set
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Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // initialize mrf
       mrf.initialize();

       // get mrf cliques
View Full Code Here

Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // get mrf cliques
      List<Clique> cliques = mrf.getCliques();

      // add parameter name to feature name set
View Full Code Here

Examples of ivory.smrf.model.builder.MRFBuilder.buildMRF()

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     // compute features for each model
     for(String modelName : modelNames) {
       // build mrf from model node
       Node modelNode = runner.getModel(modelName);
       MRFBuilder builder = MRFBuilder.get(env, modelNode);
       MarkovRandomField mrf = builder.buildMRF(queryText.split("\\s+"));

       // initialize mrf
       mrf.initialize();

       // get mrf cliques
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