Example usage for org.apache.commons.lang3.tuple Pair getKey

List of usage examples for org.apache.commons.lang3.tuple Pair getKey

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Introduction

In this page you can find the example usage for org.apache.commons.lang3.tuple Pair getKey.

Prototype

@Override
public final L getKey()

Source Link

Document

Gets the key from this pair.

This method implements the Map.Entry interface returning the left element as the key.

Usage

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testRbBigRecPaperMerge() throws URISyntaxException, IOException {
    final AlergiaRedBlue alergia = new AlergiaRedBlue(0.05, true, MergeMethod.ALERGIA_PAPER);
    final Pair<TimedInput, TimedInput> trainTest = IoUtils
            .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
    final PDFA pdfaAlergia = alergia.train(trainTest.getKey());
    final AnomalyDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            new AggregatedSingleFeatureCreator(), new ThresholdClassifier(Math.exp(-5)));
    final AnomalyDetection detection = new AnomalyDetection(detector, pdfaAlergia);
    final ExperimentResult alergiaEexpected = new ExperimentResult(467, 4532, 1, 0);
    final ExperimentResult alergiaActual = detection.test(trainTest.getValue());
    assertEquals(alergiaEexpected, alergiaActual);
    assertEquals(108, pdfaAlergia.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testRbBigRecTrebaMerge() throws URISyntaxException, IOException {
    final AlergiaRedBlue alergia = new AlergiaRedBlue(0.05, true, MergeMethod.TREBA);
    final Pair<TimedInput, TimedInput> trainTest = IoUtils
            .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
    final PDFA pdfaAlergia = alergia.train(trainTest.getKey());
    final AnomalyDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            new AggregatedSingleFeatureCreator(), new ThresholdClassifier(Math.exp(-5)));
    final AnomalyDetection detection = new AnomalyDetection(detector, pdfaAlergia);
    final ExperimentResult expected = new ExperimentResult(467, 4532, 1, 0);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);//from w  w  w.j a  va  2 s . c o  m
    assertEquals(70, pdfaAlergia.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testTrebaBigNonRec() throws URISyntaxException, IOException {
    if (LibraryChecker.trebaDepsInstalled()) {
        final TrebaPdfaLearner treba = new TrebaPdfaLearner(0.05, false, MergeTest.ALERGIA, 0.0, 0);
        final Pair<TimedInput, TimedInput> trainTest = IoUtils
                .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
        final AnomalyDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
                new AggregatedSingleFeatureCreator(), new ThresholdClassifier(Math.exp(-5)));
        final PDFA pdfaTreba = treba.train(trainTest.getKey());
        final AnomalyDetection trebaDetection = new AnomalyDetection(detector, pdfaTreba);
        final ExperimentResult trebaExpected = new ExperimentResult(463, 4533, 0, 4);
        final ExperimentResult trebaActual = trebaDetection.test(trainTest.getValue());
        logger.info("Treba PDFA has {} states.", pdfaTreba.getStateCount());
        assertEquals(trebaExpected, trebaActual);
        assertEquals(42, pdfaTreba.getStateCount());
    } else {/* ww  w.  jav  a  2s  .  c o  m*/
        System.out.println("Did not do any test because OS is not linux and treba cannot be loaded.");
    }
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testTrebaBigRec() throws URISyntaxException, IOException {
    if (LibraryChecker.trebaDepsInstalled()) {
        final TrebaPdfaLearner treba = new TrebaPdfaLearner(0.05, true, MergeTest.ALERGIA, 0.0, 0);
        final Pair<TimedInput, TimedInput> trainTest = IoUtils
                .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
        final AnomalyDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
                new AggregatedSingleFeatureCreator(), new ThresholdClassifier(Math.exp(-5)));
        final PDFA pdfaTreba = treba.train(trainTest.getKey());
        final AnomalyDetection trebaDetection = new AnomalyDetection(detector, pdfaTreba);
        final ExperimentResult trebaExpected = new ExperimentResult(467, 4525, 8, 0);
        final ExperimentResult trebaActual = trebaDetection.test(trainTest.getValue());
        logger.info("Treba PDFA has {} states.", pdfaTreba.getStateCount());
        assertEquals(trebaExpected, trebaActual);
        assertEquals(356, pdfaTreba.getStateCount());
    } else {//from   ww  w.j a v  a 2s.co  m
        System.out.println("Did not do any test because OS is not linux and treba cannot be loaded.");
    }
}

From source file:sadl.modellearner.PdttaLearnerTest.java

@Test
public void oldNewLeanerTest() throws IOException, URISyntaxException {
    if (LibraryChecker.trebaDepsInstalled()) {
        for (int i = 1; i <= 5; i++) {
            final Pair<TimedInput, TimedInput> trainTest = IoUtils.readTrainTestFile(
                    Paths.get(this.getClass().getResource("/pdtta/smac_mix_type" + i + ".txt").toURI()));
            Settings.setDebug(false);/*from  w  w  w .  ja va 2s.c  o m*/
            final TimedInput ti1 = trainTest.getKey();
            final TimedInput ti2 = SerializationUtils.clone(ti1);
            final PdttaLearner l1 = new PdttaLearner(new TrebaPdfaLearner(0.05, false));
            final ProbabilisticModel p1 = l1.train(ti1);
            MasterSeed.reset();
            final PdttaLeanerOld l2 = new PdttaLeanerOld(0.05, false);
            final ProbabilisticModel p2 = l2.train(ti2);
            assertEquals("PDTTAs for file " + i + " are not equal", p2, p1);
            // TODO Also compare with loaded model from file
        }
    } else {
        System.out.println("Did not do any test because OS is not linux and treba cannot be loaded.");
    }
}

From source file:sadl.modellearner.RtiPlusTest.java

public void testDeterminismBig() throws URISyntaxException, IOException {
    // TODO fix this test
    for (int i = 1; i <= 5; i++) {
        final Pair<TimedInput, TimedInput> traintestSet = IoUtils.readTrainTestFile(
                Paths.get(this.getClass().getResource("/pdtta/smac_mix_type" + i + ".txt").toURI()));

        final TimedInput ti1 = traintestSet.getKey();
        ti1.decreaseSamples(0.01);/*from  ww w .j  a  v  a2  s . co  m*/
        final TimedInput ti2 = SerializationUtils.clone(ti1);

        final SimplePDRTALearner l1 = new SimplePDRTALearner(0.05, "4", OperationTesterType.LRT,
                DistributionCheckType.STRICT, SplitPosition.MIDDLE, "AAO", null);

        final ProbabilisticModel p1 = l1.train(ti1);
        for (int j = 0; j < 10; j++) {
            final SimplePDRTALearner l2 = new SimplePDRTALearner(0.05, "4", OperationTesterType.LRT,
                    DistributionCheckType.STRICT, SplitPosition.MIDDLE, "AAO", null);
            final ProbabilisticModel p2 = l2.train(ti2);

            assertEquals("PDRTAs for files " + i + " are not equal", p2, p1);
        }
    }
}

From source file:sadl.modellearner.TrebaButlaLearnerTest.java

public void test() throws URISyntaxException {
    // TODO why do they give different results?
    final ButlaPdtaLearner butla = new ButlaPdtaLearner(100000000, 0.05, TransitionsType.Outgoing, 0.05, 0.05,
            PTAOrdering.TopDown, EventsCreationStrategy.DontSplitEvents, KDEFormelVariant.OriginalKDE,
            IntervalCreationStrategy.OriginalButla);
    final TrebaPdfaLearner treba = new TrebaPdfaLearner(0.05, true, MergeTest.ALERGIA, 0.0, 0);
    final Path p = Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI());
    Pair<TimedInput, TimedInput> input = IoUtils.readTrainTestFile(p);

    final PDTA pdta = butla.train(input.getKey());

    input = IoUtils.readTrainTestFile(p);
    final AutomatonModel pdfa = treba.train(input.getKey());

    assertEquals(pdta.getStateCount(), pdfa.getStateCount());
    assertEquals(pdta.getTransitionCount(), pdfa.getTransitionCount());
    assertEquals(pdfa, pdta.toPDFA());/*from w w  w  . jav  a2  s  . c om*/

}

From source file:sadl.oneclassclassifier.NumericClassifierTest.java

@Test
public void testLibSvmClassifier() throws URISyntaxException, IOException {
    final PdttaLearner learner = new PdttaLearner(new AlergiaRedBlue(0.05, true));
    final FeatureCreator featureCreator = new UberFeatureCreator();
    final LibSvmClassifier classifier = new LibSvmClassifier(1, 0.2, 0.1, 1, 0.001, 3, ScalingMethod.NONE);
    final VectorDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            featureCreator, classifier, false);
    final AnomalyDetection detection = new AnomalyDetection(detector, learner);
    final Path p = Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI());
    final Pair<TimedInput, TimedInput> inputSets = IoUtils.readTrainTestFile(p);
    final ExperimentResult actual = detection.trainTest(inputSets.getKey(), inputSets.getValue());
    final ExperimentResult expected = new ExperimentResult(420, 4072, 461, 47);
    assertEquals(expected, actual);/*  w w w.  j a v a  2s  . co  m*/
}

From source file:sadl.oneclassclassifier.NumericClassifierTest.java

@Test
public void testDBScanClassifier() throws URISyntaxException, IOException {
    final PdttaLearner learner = new PdttaLearner(new AlergiaRedBlue(0.05, true));
    final FeatureCreator featureCreator = new UberFeatureCreator();
    final NumericClassifier classifier = new DbScanClassifier(0.05, 5, DistanceMethod.EUCLIDIAN,
            ScalingMethod.NORMALIZE);//from   www.  j a  v a  2s .co m
    final VectorDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            featureCreator, classifier, false);
    final AnomalyDetection detection = new AnomalyDetection(detector, learner);
    final Path p = Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI());
    final Pair<TimedInput, TimedInput> inputSets = IoUtils.readTrainTestFile(p);
    final ExperimentResult actual = detection.trainTest(inputSets.getKey(), inputSets.getValue());
    final ExperimentResult expected = new ExperimentResult(467, 4356, 177, 0);
    assertEquals(expected, actual);
}

From source file:sadl.oneclassclassifier.NumericClassifierTest.java

@Test
public void testKMeansClassifier() throws URISyntaxException, IOException {
    final PdttaLearner learner = new PdttaLearner(new AlergiaRedBlue(0.05, true));
    final FeatureCreator featureCreator = new UberFeatureCreator();
    final NumericClassifier classifier = new KMeansClassifier(ScalingMethod.NORMALIZE, 10, 0.05, 0,
            DistanceMethod.EUCLIDIAN);//from ww  w.  jav  a2s . com
    final VectorDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            featureCreator, classifier, false);
    final AnomalyDetection detection = new AnomalyDetection(detector, learner);
    final Path p = Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI());
    final Pair<TimedInput, TimedInput> inputSets = IoUtils.readTrainTestFile(p);
    final ExperimentResult actual = detection.trainTest(inputSets.getKey(), inputSets.getValue());
    final ExperimentResult expected = new ExperimentResult(467, 445, 4088, 0);
    assertEquals(expected, actual);
}