Examples with ANNModelFormat org.apache.ignite.ml.knn.ann.ANNModelFormat used on opensource projects

Example 1 with ANNModelFormat

use of org.apache.ignite.ml.knn.ann.ANNModelFormat in project ignite by apache.

the class CollectionsTest method test.

/**
 */
@Test
@SuppressWarnings("unchecked")
public void test() {
    test(new VectorizedViewMatrix(new DenseMatrix(2, 2), 1, 1, 1, 1), new VectorizedViewMatrix(new DenseMatrix(3, 2), 2, 1, 1, 1));
    specialTest(new ManhattanDistance(), new ManhattanDistance());
    specialTest(new HammingDistance(), new HammingDistance());
    specialTest(new EuclideanDistance(), new EuclideanDistance());
    FeatureMetadata data = new FeatureMetadata("name2");
    data.setName("name1");
    test(data, new FeatureMetadata("name2"));
    test(new DatasetRow<>(new DenseVector()), new DatasetRow<>(new DenseVector(1)));
    test(new LabeledVector<>(new DenseVector(), null), new LabeledVector<>(new DenseVector(1), null));
    test(new Dataset<DatasetRow<Vector>>(new DatasetRow[] {}, new FeatureMetadata[] {}), new Dataset<DatasetRow<Vector>>(new DatasetRow[] { new DatasetRow() }, new FeatureMetadata[] { new FeatureMetadata() }));
    test(new LogisticRegressionModel(new DenseVector(), 1.0), new LogisticRegressionModel(new DenseVector(), 0.5));
    test(new KMeansModelFormat(new Vector[] {}, new ManhattanDistance()), new KMeansModelFormat(new Vector[] {}, new HammingDistance()));
    test(new KMeansModel(new Vector[] {}, new ManhattanDistance()), new KMeansModel(new Vector[] {}, new HammingDistance()));
    test(new SVMLinearClassificationModel(null, 1.0), new SVMLinearClassificationModel(null, 0.5));
    test(new ANNClassificationModel(new LabeledVectorSet<>(), new ANNClassificationTrainer.CentroidStat()), new ANNClassificationModel(new LabeledVectorSet<>(1, 1), new ANNClassificationTrainer.CentroidStat()));
    test(new ANNModelFormat(1, new ManhattanDistance(), false, new LabeledVectorSet<>(), new ANNClassificationTrainer.CentroidStat()), new ANNModelFormat(2, new ManhattanDistance(), false, new LabeledVectorSet<>(), new ANNClassificationTrainer.CentroidStat()));
}

Example 2 with ANNModelFormat

use of org.apache.ignite.ml.knn.ann.ANNModelFormat in project ignite by apache.

the class LocalModelsTest method importExportANNModelTest.

/**
 */
@Test
public void importExportANNModelTest() throws IOException {
    executeModelTest(mdlFilePath -> {
        final LabeledVectorSet<LabeledVector> centers = new LabeledVectorSet<>();
        NNClassificationModel mdl = new ANNClassificationModel(centers, new ANNClassificationTrainer.CentroidStat()).withK(4).withDistanceMeasure(new ManhattanDistance()).withWeighted(true);
        Exporter<KNNModelFormat, String> exporter = new FileExporter<>();
        mdl.saveModel(exporter, mdlFilePath);
        ANNModelFormat load = (ANNModelFormat) exporter.load(mdlFilePath);
        Assert.assertNotNull(load);
        NNClassificationModel importedMdl = new ANNClassificationModel(load.getCandidates(), new ANNClassificationTrainer.CentroidStat()).withK(load.getK()).withDistanceMeasure(load.getDistanceMeasure()).withWeighted(true);
        Assert.assertEquals("", mdl, importedMdl);
        return null;
    });
}