Examples of svm_node

Examples of libsvm.svm_node

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      //classify SE sentences based on the trained libSVM model
        svm_node[] x = new svm_node[psf.getFeatures().size()];
      for(int j=0;j<psf.getFeatures().size();j++)
      {
        x[j] = new svm_node();
        x[j].index = j+1;
        String nomFea = psf.getFeatures(j);
        x[j].value = Double.parseDouble(feaMap.get(nomFea));
      }
     
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Examples of libsvm.svm_node

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    {
        svm_node[] nodes = new svm_node[features.size()];
        int i = 0;
        // Features map is sorted, so we can just flatten it to a list for libsvm
        for (SortedMap.Entry<Integer, Double> feature : features.getFeatures().entrySet()) {
            nodes[i] = new svm_node();
            nodes[i].index = feature.getKey();
            nodes[i].value = feature.getValue();
            i++;
        }
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Examples of libsvm.svm_node

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    {
        svm_node[] nodes = new svm_node[features.size()];
        int i = 0;
        // Features map is sorted, so we can just flatten it to a list for libsvm
        for (SortedMap.Entry<Integer, Double> feature : features.getFeatures().entrySet()) {
            nodes[i] = new svm_node();
            nodes[i].index = feature.getKey();
            nodes[i].value = feature.getValue();
            i++;
        }
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Examples of libsvm.svm_node

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    {
        svm_node[] nodes = new svm_node[features.size()];
        int i = 0;
        // Features map is sorted, so we can just flatten it to a list for libsvm
        for (SortedMap.Entry<Integer, Double> feature : features.getFeatures().entrySet()) {
            nodes[i] = new svm_node();
            nodes[i].index = feature.getKey();
            nodes[i].value = feature.getValue();
            i++;
        }
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Examples of org.encog.mathutil.libsvm.svm_node

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   * @return The SVM sparse data.
   */
  public final svm_node[] makeSparse(final MLData data) {
    final svm_node[] result = new svm_node[data.size()];
    for (int i = 0; i < data.size(); i++) {
      result[i] = new svm_node();
      result[i].index = i + 1;
      result[i].value = data.getData(i);
    }

    return result;
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Examples of org.encog.mathutil.libsvm.svm_node

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        final MLData input = pair.getInput();
        final MLData output = pair.getIdeal();
        result.x[elementIndex] = new svm_node[input.size()];

        for (int i = 0; i < input.size(); i++) {
          result.x[elementIndex][i] = new svm_node();
          result.x[elementIndex][i].index = i + 1;
          result.x[elementIndex][i].value = input.getData(i);
        }

        result.y[elementIndex] = output.getData(outputIndex);
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Examples of org.encog.mathutil.libsvm.svm_node

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   * @return The SVM sparse data.
   */
  public svm_node[] makeSparse(final MLData data) {
    final svm_node[] result = new svm_node[data.size()];
    for (int i = 0; i < data.size(); i++) {
      result[i] = new svm_node();
      result[i].index = i + 1;
      result[i].value = data.getData(i);
    }

    return result;
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Examples of org.encog.mathutil.libsvm.svm_node

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        final MLData input = pair.getInput();
        final MLData output = pair.getIdeal();
        result.x[elementIndex] = new svm_node[input.size()];

        for (int i = 0; i < input.size(); i++) {
          result.x[elementIndex][i] = new svm_node();
          result.x[elementIndex][i].index = i + 1;
          result.x[elementIndex][i].value = input.getData(i);
        }

        result.y[elementIndex] = output.getData(outputIndex);
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