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

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

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Introduction

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

Prototype

@Override
public R getValue()

Source Link

Document

Gets the value from this pair.

This method implements the Map.Entry interface returning the right element as the value.

Usage

From source file:sadl.detectors.PdttaWithPreprocessingTest.java

@Test
public void test() throws URISyntaxException, IOException {
    final PdttaLearner learner = new PdttaLearner(new AlergiaRedBlue(0.05, true));
    // final AggregatedThresholdDetector detector = new AggregatedThresholdDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY, -5, -8,
    // false);/*ww w  . j  av a 2  s . c  o m*/
    final AnomalyDetector detector = new VectorDetector(ProbabilityAggregationMethod.NORMALIZED_MULTIPLY,
            new AggregatedSingleFeatureCreator(), new ThresholdClassifier(Math.exp(-5)));

    final Path p = Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI());
    final Pair<TimedInput, TimedInput> trainTest = IoUtils.readTrainTestFile(p);

    final ButlaPdtaLearner butla = new ButlaPdtaLearner(20000, EventsCreationStrategy.SplitEvents,
            KDEFormelVariant.OriginalKDE);
    // final ButlaPdtaLearner butla = new ButlaPdtaLearner(EventsCreationStrategy.SplitEvents, KDEFormelVariant.OriginalKDE);

    final Pair<TimedInput, Map<String, Event>> pair = butla.splitEventsInTimedSequences(trainTest.getKey());
    final TimedInput splittedTrainSet = pair.getKey();
    final Map<String, Event> eventMapping = pair.getValue();
    final PDTTA model = learner.train(splittedTrainSet);
    detector.setModel(model);
    final AnomalyDetection detection = new AnomalyDetection(detector, model);
    final TimedInput testSet = butla.getSplitInputForMapping(trainTest.getValue(), eventMapping);
    final ExperimentResult result = detection.test(testSet);
    final ExperimentResult expected = new ExperimentResult(467, 4421, 112, 0);
    assertEquals(expected, result);
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testLoopBigNonRecPaperMerge() throws URISyntaxException, IOException {
    final Alergia alergia = new Alergia(0.05, false, MergeMethod.ALERGIA_PAPER);
    final Pair<TimedInput, TimedInput> trainTest = IoUtils
            .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
    final PDFA pdfa = 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, pdfa);
    final ExperimentResult expected = new ExperimentResult(467, 4531, 2, 0);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);/*from w w  w . j  av a  2 s .  com*/
    assertEquals(808, pdfa.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testLoopBigNonRecTrebaMerge() throws URISyntaxException, IOException {
    final Alergia alergia = new Alergia(0.05, false, MergeMethod.TREBA);
    final Pair<TimedInput, TimedInput> trainTest = IoUtils
            .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
    final PDFA pdfa = 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, pdfa);
    final ExperimentResult expected = new ExperimentResult(467, 4531, 2, 0);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);//from w  w w .  j  a  va  2s . c  om
    assertEquals(808, pdfa.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testLoopBigRecPaperMerge() throws URISyntaxException, IOException {
    final Alergia alergia = new Alergia(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 pdfa = 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, pdfa);
    final ExperimentResult expected = new ExperimentResult(467, 4525, 8, 0);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);//from  w w w.  ja v  a2s.co m
    assertEquals(882, pdfa.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testLoopBigRecTrebaMerge() throws URISyntaxException, IOException {
    final Alergia alergia = new Alergia(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 pdfa = 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, pdfa);
    final ExperimentResult expected = new ExperimentResult(467, 4528, 5, 0);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);/* w  ww .ja  v a2  s  .co  m*/
    assertEquals(808, pdfa.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testRbBigNonRecPaperMerge() throws URISyntaxException, IOException {
    final AlergiaRedBlue alergia = new AlergiaRedBlue(0.05, false, 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 expected = new ExperimentResult(0, 4533, 0, 467);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);//from  w  ww  .j a  v a2  s .  c  o  m
    assertEquals(2, pdfaAlergia.getStateCount());
}

From source file:sadl.modellearner.AlergiaTest.java

@Test
public void testRbBigNonRecTrebaMerge() throws URISyntaxException, IOException {
    final AlergiaRedBlue alergia = new AlergiaRedBlue(0.05, false, MergeMethod.TREBA);
    final Pair<TimedInput, TimedInput> trainTest = IoUtils
            .readTrainTestFile(Paths.get(this.getClass().getResource("/pdtta/smac_mix_type1.txt").toURI()));
    final PDFA pdfa = 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, pdfa);
    final ExperimentResult expected = new ExperimentResult(0, 4533, 0, 467);
    final ExperimentResult actual = detection.test(trainTest.getValue());
    assertEquals(expected, actual);/*from  w  ww . j  a v  a  2  s  .c o m*/
    assertEquals(2, pdfa.getStateCount());

}

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);/*ww  w. ja  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 {//from  w ww  .  j  a v  a  2  s .c  om
        System.out.println("Did not do any test because OS is not linux and treba cannot be loaded.");
    }
}