Package org.encog.mathutil.libsvm

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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        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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   * @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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        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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Related Classes of org.encog.mathutil.libsvm.svm_node

  • org.encog.ml.svm.SVM
  • org.encog.ml.svm.training.EncodeSVMProblem
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