Examples with ListParameterization de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization used on opensource projects

Example 71 with ListParameterization

use of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization in project elki by elki-project.

the class SpacefillingKNNPreprocessorTest method testCauchy.

@Test
public void testCauchy() {
    Database db = AbstractSimpleAlgorithmTest.makeSimpleDatabase(dataset, shoulds);
    Relation<DoubleVector> rel = db.getRelation(TypeUtil.DOUBLE_VECTOR_FIELD);
    DistanceQuery<DoubleVector> distanceQuery = db.getDistanceQuery(rel, EuclideanDistanceFunction.STATIC);
    // get linear queries
    LinearScanDistanceKNNQuery<DoubleVector> lin_knn_query = new LinearScanDistanceKNNQuery<>(distanceQuery);
    // get preprocessed queries
    ListParameterization config = new ListParameterization();
    // 
    config.addParameter(// 
    SpacefillingKNNPreprocessor.Factory.Parameterizer.CURVES_ID, // 
    HilbertSpatialSorter.class.getName() + "," + PeanoSpatialSorter.class.getName() + "," + ZCurveSpatialSorter.class.getName() + "," + BinarySplitSpatialSorter.class.getName());
    config.addParameter(SpacefillingKNNPreprocessor.Factory.Parameterizer.DIM_ID, 7);
    config.addParameter(SpacefillingKNNPreprocessor.Factory.Parameterizer.PROJECTION_ID, CauchyRandomProjectionFamily.class);
    config.addParameter(SpacefillingKNNPreprocessor.Factory.Parameterizer.VARIANTS_ID, 10);
    config.addParameter(SpacefillingKNNPreprocessor.Factory.Parameterizer.WINDOW_ID, 5.);
    config.addParameter(SpacefillingKNNPreprocessor.Factory.Parameterizer.RANDOM_ID, 0L);
    config.addParameter(CauchyRandomProjectionFamily.Parameterizer.RANDOM_ID, 0L);
    SpacefillingKNNPreprocessor.Factory<DoubleVector> preprocf = ClassGenericsUtil.parameterizeOrAbort(SpacefillingKNNPreprocessor.Factory.class, config);
    SpacefillingKNNPreprocessor<DoubleVector> preproc = preprocf.instantiate(rel);
    preproc.initialize();
    // add as index
    db.getHierarchy().add(rel, preproc);
    KNNQuery<DoubleVector> preproc_knn_query = preproc.getKNNQuery(distanceQuery, k);
    assertFalse("Preprocessor knn query class incorrect.", preproc_knn_query instanceof LinearScanDistanceKNNQuery);
    // test queries
    testKNNQueries(rel, lin_knn_query, preproc_knn_query, k);
    // also test partial queries, forward only
    testKNNQueries(rel, lin_knn_query, preproc_knn_query, k / 2);
}

Example 72 with ListParameterization

use of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization in project elki by elki-project.

the class MTreeTest method testMetrical.

/**
 * Test {@link MTree} using a file based database connection.
 */
@Test
public void testMetrical() {
    ListParameterization metparams = new ListParameterization();
    metparams.addParameter(StaticArrayDatabase.Parameterizer.INDEX_ID, MTreeFactory.class);
    metparams.addParameter(AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID, 300);
    testExactEuclidean(metparams, MetricalIndexKNNQuery.class, MetricalIndexRangeQuery.class);
}

Example 73 with ListParameterization

use of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization in project elki by elki-project.

the class KNNJoinTest method testKNNJoinRtreeMini.

/**
 * Test {@link RStarTree} using a file based database connection.
 */
@Test
public void testKNNJoinRtreeMini() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.Parameterizer.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID, 200);
    doKNNJoin(spatparams);
}

Example 74 with ListParameterization

use of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization in project elki by elki-project.

the class KNNJoinTest method testKNNJoinRtreeMaxi.

/**
 * Test {@link RStarTree} using a file based database connection.
 */
@Test
public void testKNNJoinRtreeMaxi() {
    ListParameterization spatparams = new ListParameterization();
    spatparams.addParameter(StaticArrayDatabase.Parameterizer.INDEX_ID, RStarTreeFactory.class);
    spatparams.addParameter(AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID, 2000);
    doKNNJoin(spatparams);
}

Example 75 with ListParameterization

use of de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.ListParameterization in project elki by elki-project.

the class DeLiCluTest method testDeLiCluResults.

/**
 * Run DeLiClu with fixed parameters and compare the result to a golden
 * standard.
 */
@Test
public void testDeLiCluResults() {
    ListParameterization indexparams = new ListParameterization();
    // We need a special index for this algorithm:
    indexparams.addParameter(StaticArrayDatabase.Parameterizer.INDEX_ID, DeLiCluTreeFactory.class);
    indexparams.addParameter(AbstractPageFileFactory.Parameterizer.PAGE_SIZE_ID, 1000);
    Database db = makeSimpleDatabase(UNITTEST + "hierarchical-2d.ascii", 710, indexparams);
    Clustering<?> clustering = // 
    new ELKIBuilder<>(OPTICSXi.class).with(DeLiClu.Parameterizer.MINPTS_ID, // 
    18).with(OPTICSXi.Parameterizer.XI_ID, // 
    0.038).with(OPTICSXi.Parameterizer.XIALG_ID, // 
    DeLiClu.class).build().run(db);
    // Test F-Measure
    Clustering<Model> rbl = new ByLabelClustering().run(db);
    ClusterContingencyTable ct = new ClusterContingencyTable(true, false);
    ct.process(clustering, rbl);
    double score = ct.getPaircount().f1Measure();
    // identical each time, the results will vary.
    if (Math.abs(score - 0.8771174) < 1e-5) {
        assertEquals("Score does not match.", 0.8771174, score, 1e-5);
    } else {
        assertEquals("Score does not match.", 0.8819664, score, 1e-5);
    }
}