Package de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization

Examples of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization.addParameter()

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   * @return the parameters for the PCA for the specified correlation dimension
   */
  private ListParameterization pcaParameters(int correlationDimension) {
    ListParameterization parameters = new ListParameterization();

    parameters.addParameter(PCAFilteredRunner.PCA_EIGENPAIR_FILTER, FirstNEigenPairFilter.class);
    parameters.addParameter(FirstNEigenPairFilter.EIGENPAIR_FILTER_N, correlationDimension);

    return parameters;
  }

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   */
  private ListParameterization pcaParameters(int correlationDimension) {
    ListParameterization parameters = new ListParameterization();

    parameters.addParameter(PCAFilteredRunner.PCA_EIGENPAIR_FILTER, FirstNEigenPairFilter.class);
    parameters.addParameter(FirstNEigenPairFilter.EIGENPAIR_FILTER_N, correlationDimension);

    return parameters;
  }

  private void buildHierarchy(SortedMap<Integer, List<Cluster<CorrelationModel<V>>>> clusterMap, DistanceQuery<V, IntegerDistance> query) throws IllegalStateException {
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   * @param result Outlier result to process
   * @param expected Expected AUC value
   */
  protected void testAUC(Database db, String positive, OutlierResult result, double expected) {
    ListParameterization params = new ListParameterization();
    params.addParameter(ComputeROCCurve.POSITIVE_CLASS_NAME_ID, positive);
    ComputeROCCurve rocCurve = ClassGenericsUtil.parameterizeOrAbort(ComputeROCCurve.class, params);

    // Ensure the result has been added to the hierarchy:
    if(db.getHierarchy().getParents(result).size() < 1) {
      db.getHierarchy().add(db, result);
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  double var2nnManhattan = 0.83157894;

  @Test
  public void testLinearScan() {
    ListParameterization inputparams = new ListParameterization();
    inputparams.addParameter(FileBasedDatabaseConnection.INPUT_ID, dataset);
    List<Class<?>> filters = Arrays.asList(new Class<?>[] { FixedDBIDsFilter.class });
    inputparams.addParameter(FileBasedDatabaseConnection.FILTERS_ID, filters);
    inputparams.addParameter(FixedDBIDsFilter.IDSTART_ID, 1);

    // get database
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  @Test
  public void testLinearScan() {
    ListParameterization inputparams = new ListParameterization();
    inputparams.addParameter(FileBasedDatabaseConnection.INPUT_ID, dataset);
    List<Class<?>> filters = Arrays.asList(new Class<?>[] { FixedDBIDsFilter.class });
    inputparams.addParameter(FileBasedDatabaseConnection.FILTERS_ID, filters);
    inputparams.addParameter(FixedDBIDsFilter.IDSTART_ID, 1);

    // get database
    Database db = ClassGenericsUtil.parameterizeOrAbort(StaticArrayDatabase.class, inputparams);
    inputparams.failOnErrors();
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  public void testLinearScan() {
    ListParameterization inputparams = new ListParameterization();
    inputparams.addParameter(FileBasedDatabaseConnection.INPUT_ID, dataset);
    List<Class<?>> filters = Arrays.asList(new Class<?>[] { FixedDBIDsFilter.class });
    inputparams.addParameter(FileBasedDatabaseConnection.FILTERS_ID, filters);
    inputparams.addParameter(FixedDBIDsFilter.IDSTART_ID, 1);

    // get database
    Database db = ClassGenericsUtil.parameterizeOrAbort(StaticArrayDatabase.class, inputparams);
    inputparams.failOnErrors();
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   * @throws ParameterException on errors.
   */
  @Test
  public void testKNNJoinRtreeMini() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(TreeIndexFactory.PAGE_SIZE_ID, 200);

    doKNNJoin(spatparams);
  }

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   */
  @Test
  public void testKNNJoinRtreeMini() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(TreeIndexFactory.PAGE_SIZE_ID, 200);

    doKNNJoin(spatparams);
  }

  /**
 
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   * @throws ParameterException on errors.
   */
  @Test
  public void testKNNJoinRtreeMaxi() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(TreeIndexFactory.PAGE_SIZE_ID, 2000);

    doKNNJoin(spatparams);
  }

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   */
  @Test
  public void testKNNJoinRtreeMaxi() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(TreeIndexFactory.PAGE_SIZE_ID, 2000);

    doKNNJoin(spatparams);
  }

  /**
 
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