private boolean compareDoubleArray(double[] expected, double[] actual, DataIndexer indexer, double tolerance) { double[] alignedActual = alignDoubleArrayForTestData( actual, indexer.getPredLabels(), indexer.getOutcomeLabels()); if (expected.length != alignedActual.length) { return false; } for (int i = 0; i < alignedActual.length; i++) { if (Math.abs(alignedActual[i] - expected[i]) > tolerance) { return false; } } return true; } }
@Test public void testGradientAtNonInitialPoint() throws IOException { // given RealValueFileEventStream rvfes1 = new RealValueFileEventStream( "src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8"); testDataIndexer.index(rvfes1); NegLogLikelihood objectFunction = new NegLogLikelihood(testDataIndexer); // when double[] nonInitialPoint = new double[] { 0.2, 0.5, 0.2, 0.5, 0.2, 0.5, 0.2, 0.5, 0.2, 0.5 }; double[] gradientAtNonInitialPoint = objectFunction.gradientAt(dealignDoubleArrayForTestData(nonInitialPoint, testDataIndexer.getPredLabels(), testDataIndexer.getOutcomeLabels())); double[] expectedGradient = new double[] { -12.755042847945553, -21.227127506102434, -72.57790706276435, 38.03525795198456, 15.348650889354925, 12.755042847945557, 21.22712750610244, 72.57790706276438, -38.03525795198456, -15.348650889354925 }; // then Assert.assertTrue(compareDoubleArray(expectedGradient, gradientAtNonInitialPoint, testDataIndexer, TOLERANCE01)); }
@Test public void testGradientAtInitialPoint() throws IOException { // given RealValueFileEventStream rvfes1 = new RealValueFileEventStream( "src/test/resources/data/opennlp/maxent/real-valued-weights-training-data.txt", "UTF-8"); testDataIndexer.index(rvfes1); NegLogLikelihood objectFunction = new NegLogLikelihood(testDataIndexer); // when double[] gradientAtInitialPoint = objectFunction.gradientAt(objectFunction.getInitialPoint()); double[] expectedGradient = new double[] { -9.0, -14.0, -17.0, 20.0, 8.5, 9.0, 14.0, 17.0, -20.0, -8.5 }; // then Assert.assertTrue(compareDoubleArray(expectedGradient, gradientAtInitialPoint, testDataIndexer, TOLERANCE01)); }
@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"); testDataIndexer.index(rvfes1); NegLogLikelihood objectFunction = new NegLogLikelihood(testDataIndexer); // when double[] nonInitialPoint = new double[] { 3, 2, 3, 2, 3, 2, 3, 2, 3, 2 }; double value = objectFunction.valueAt(dealignDoubleArrayForTestData(nonInitialPoint, testDataIndexer.getPredLabels(), testDataIndexer.getOutcomeLabels())); double expectedValue = 53.163219721099026; // then Assert.assertEquals(expectedValue, value, TOLERANCE02); }