Exemple #1
0
  @Override
  public AnalysisCollector analyze(CollectionReader cr) throws AnalyzerFailureException {
    svm_problem svmProblem = loadData(cr);
    svm_problem sampled = null;
    if (findBestParameters) {
      if (sample < 1d) {
        logger.debug("Sampling.");
        sampled = do_sample(svmProblem);
      }
      logger.debug("Performing grid search.");
      do_find_best_parameters(sampled != null ? sampled : svmProblem);
    }
    svm_parameter svmParam = getDefaultSvmParameters();
    svmParam.probability = 1;
    svmParam.C = c;
    svmParam.gamma = gamma;
    setWeights(svmParam);

    logger.debug("Training with C=" + c + "  gamma=" + gamma);
    svm_model model = svm.svm_train(svmProblem, svmParam);

    logger.debug("Done!");
    return new SingletonAnalysisCollector(
        new LibSvmTrainerAnalysis(model, scaler, labelList, c, gamma));
  }
Exemple #2
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 public svm_parameter getDefaultSvmParameters() {
   svm_parameter param = new svm_parameter();
   // default values
   param.svm_type = svm_parameter.C_SVC;
   param.kernel_type = svm_parameter.RBF;
   param.degree = 3;
   param.gamma = 0; // 1/num_features
   param.coef0 = 0;
   param.nu = 0.5;
   param.cache_size = 100;
   param.C = 1;
   param.eps = 1e-3;
   param.p = 0.1;
   param.shrinking = 1;
   param.probability = 0;
   param.nr_weight = 0;
   param.weight_label = new int[0];
   param.weight = new double[0];
   return param;
 }