public static void main (String[] args) throws Throwable { TestSuite theSuite; if (args.length > 0) { theSuite = new TestSuite (); for (int i = 0; i < args.length; i++) { theSuite.addTest (new TestPagedInstanceList (args[i])); } } else { theSuite = (TestSuite) suite (); } junit.textui.TestRunner.run (theSuite); }
public void testRandomTrained () { Pipe p = new SerialPipes (new Pipe[] { new TokenSequence2FeatureSequence (), new FeatureSequence2FeatureVector (), new Target2Label()}); double testAcc1 = testRandomTrainedOn (new InstanceList (p)); double testAcc2 = testRandomTrainedOn (new PagedInstanceList (p, 700, 200, new File("."))); assertEquals (testAcc1, testAcc2, 0.01); }
private double testRandomTrainedOn (InstanceList training) { ClassifierTrainer trainer = new MaxEntTrainer (); Alphabet fd = dictOfSize (3); String[] classNames = new String[] {"class0", "class1", "class2"}; Randoms r = new Randoms (1); Iterator<Instance> iter = new RandomTokenSequenceIterator (r, new Dirichlet(fd, 2.0), 30, 0, 10, 200, classNames); training.addThruPipe (iter); InstanceList testing = new InstanceList (training.getPipe ()); testing.addThruPipe (new RandomTokenSequenceIterator (r, new Dirichlet(fd, 2.0), 30, 0, 10, 200, classNames)); System.out.println ("Training set size = "+training.size()); System.out.println ("Testing set size = "+testing.size()); Classifier classifier = trainer.train (training); System.out.println ("Accuracy on training set:"); System.out.println (classifier.getClass().getName() + ": " + new Trial (classifier, training).getAccuracy()); System.out.println ("Accuracy on testing set:"); double testAcc = new Trial (classifier, testing).getAccuracy(); System.out.println (classifier.getClass().getName() + ": " + testAcc); return testAcc; }
public void testRandomTrained () { Pipe p = new SerialPipes (new Pipe[] { new TokenSequence2FeatureSequence (), new FeatureSequence2FeatureVector (), new Target2Label()}); double testAcc1 = testRandomTrainedOn (new InstanceList (p)); double testAcc2 = testRandomTrainedOn (new PagedInstanceList (p, 700, 200, new File("."))); assertEquals (testAcc1, testAcc2, 0.01); }
private double testRandomTrainedOn (InstanceList training) { ClassifierTrainer trainer = new MaxEntTrainer (); Alphabet fd = dictOfSize (3); String[] classNames = new String[] {"class0", "class1", "class2"}; Randoms r = new Randoms (1); Iterator<Instance> iter = new RandomTokenSequenceIterator (r, new Dirichlet(fd, 2.0), 30, 0, 10, 200, classNames); training.addThruPipe (iter); InstanceList testing = new InstanceList (training.getPipe ()); testing.addThruPipe (new RandomTokenSequenceIterator (r, new Dirichlet(fd, 2.0), 30, 0, 10, 200, classNames)); System.out.println ("Training set size = "+training.size()); System.out.println ("Testing set size = "+testing.size()); Classifier classifier = trainer.train (training); System.out.println ("Accuracy on training set:"); System.out.println (classifier.getClass().getName() + ": " + new Trial (classifier, training).getAccuracy()); System.out.println ("Accuracy on testing set:"); double testAcc = new Trial (classifier, testing).getAccuracy(); System.out.println (classifier.getClass().getName() + ": " + testAcc); return testAcc; }
public static void main (String[] args) throws Throwable { TestSuite theSuite; if (args.length > 0) { theSuite = new TestSuite (); for (int i = 0; i < args.length; i++) { theSuite.addTest (new TestPagedInstanceList (args[i])); } } else { theSuite = (TestSuite) suite (); } junit.textui.TestRunner.run (theSuite); }