Package opennlp.model

Examples of opennlp.model.RealValueFileEventStream

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public class RealValueFileEventStreamTest extends TestCase {

  public void testLastLineBug() throws IOException {
    OnePassRealValueDataIndexer indexer;
    RealValueFileEventStream rvfes;
   
    rvfes = new RealValueFileEventStream(
        "src/test/resources/data/opennlp/maxent/io/rvfes-bug-data-ok.txt");
    try {
      indexer = new OnePassRealValueDataIndexer(rvfes, 1);
    } finally {
      rvfes.close();
    }
    assertEquals(1, indexer.getOutcomeLabels().length);

    rvfes = new RealValueFileEventStream(
        "src/test/resources/data/opennlp/maxent/io/rvfes-bug-data-broken.txt");
    try {
      indexer = new OnePassRealValueDataIndexer(rvfes, 1);
    } finally {
      rvfes.close();
    }
    assertEquals(1, indexer.getOutcomeLabels().length);
  }
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public class RealValueModelTest extends TestCase {

  public void testRealValuedWeightsVsRepeatWeighting() throws IOException {
    GISModel realModel;
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt");
    try {
      realModel = GIS.trainModel(100,new OnePassRealValueDataIndexer(rvfes1,1));
    } finally {
      rvfes1.close();
    }

    GISModel repeatModel;
    FileEventStream rvfes2 = new FileEventStream("src/test/resources/data/opennlp/maxent/repeat-weighting-training-data.txt");
    try {
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import junit.framework.TestCase;

public class RealValueModelTest extends TestCase {

  public void testRealValuedWeightsVsRepeatWeighting() throws IOException {
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt");
    GISModel realModel = GIS.trainModel(100,new OnePassRealValueDataIndexer(rvfes1,1));

    FileEventStream rvfes2 = new FileEventStream("src/test/resources/data/opennlp/maxent/repeat-weighting-training-data.txt");
    GISModel repeatModel = GIS.trainModel(100,new OnePassRealValueDataIndexer(rvfes2,1));
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import opennlp.model.RealValueFileEventStream;

public class RealValueFileEventStreamTest extends TestCase {

  public void testLastLineBug() throws IOException {
    RealValueFileEventStream rvfes = new RealValueFileEventStream(
        "src/test/resources/data/opennlp/maxent/io/rvfes-bug-data-ok.txt");
    OnePassRealValueDataIndexer indexer = new OnePassRealValueDataIndexer(
        rvfes, 1);
    assertEquals(1, indexer.getOutcomeLabels().length);

    rvfes = new RealValueFileEventStream(
        "src/test/resources/data/opennlp/maxent/io/rvfes-bug-data-broken.txt");
    indexer = new OnePassRealValueDataIndexer(rvfes, 1);
    assertEquals(1, indexer.getOutcomeLabels().length);
  }
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  public final double TOLERANCE02 = 1.0E-10;

  @Test
  public void testDomainDimensionSanity() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8"); 
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    int correctDomainDimension = testDataIndexer.getPredLabels().length * testDataIndexer.getOutcomeLabels().length;
    // then
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  }

  @Test
  public void testInitialSanity() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8"); 
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    double[] initial = objectFunction.getInitialPoint();
    // then
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  }

  @Test
  public void testGradientSanity() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8"); 
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    double[] initial = objectFunction.getInitialPoint();
    double[] gradientAtInitial = objectFunction.gradientAt(initial);
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  }

  @Test
  public void testValueAtInitialPoint() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8");
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    double value = objectFunction.valueAt(objectFunction.getInitialPoint());
    double expectedValue = -13.86294361;
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  }

  @Test
  public void testValueAtNonInitialPoint01() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8");
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    double[] nonInitialPoint = new double[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
    double value = objectFunction.valueAt(nonInitialPoint);
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  }

  @Test
  public void testValueAtNonInitialPoint02() throws IOException {
    // given
    RealValueFileEventStream rvfes1 = new RealValueFileEventStream("src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8");
    DataIndexer testDataIndexer = new OnePassRealValueDataIndexer(rvfes1,1);
    LogLikelihoodFunction objectFunction = new LogLikelihoodFunction(testDataIndexer);
    // when
    double[] nonInitialPoint = new double[] { 3, 2, 3, 2, 3, 2, 3, 2, 3, 2 };
    double value = objectFunction.valueAt(dealignDoubleArrayForTestData(nonInitialPoint,
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Related Classes of opennlp.model.RealValueFileEventStream

  • opennlp.maxent.io.RealValueFileEventStreamTest
  • opennlp.maxent.io.SuffixSensitiveGISModelWriter
  • opennlp.maxent.quasinewton.LogLikelihoodFunctionTest
  • opennlp.maxent.quasinewton.QNTrainerTest
  • opennlp.maxent.RealValueModelTest
  • java.io.File
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