public LBJ2.classify.FeatureVector classify(int[] a0, double[] a1) { if (isClone) { loadInstance(); return instance.classify(a0, a1); } return super.classify(a0, a1); }
public double computeLearningRate(int[] a0, double[] a1, double a2, boolean a3) { if (isClone) { loadInstance(); return instance.computeLearningRate(a0, a1, a2, a3); } return super.computeLearningRate(a0, a1, a2, a3); }
public void countFeatures(LBJ2.learn.Lexicon.CountPolicy a0) { if (isClone) { loadInstance(); instance.countFeatures(a0); return; } super.countFeatures(a0); }
public java.lang.String discreteValue(int[] a0, double[] a1) { if (isClone) { loadInstance(); return instance.discreteValue(a0, a1); } return super.discreteValue(a0, a1); }
Parser testParser = getTestParser(); if (testParserName != null) testParser = LBJ2.util.ClassUtils.getParser(testParserName, new Class[]{ String.class }, new String[]{ testFile }); MDExtendHeads classifier = new MDExtendHeads(); TestDiscrete tester = new TestDiscrete(); for (int i = 2; i < args.length; ++i) tester.addNull(args[i]); TestDiscrete.testDiscrete(tester, classifier, classifier.getLabeler(), testParser, true, 0);
public void demote(int[] a0, double[] a1, double a2) { if (isClone) { loadInstance(); instance.demote(a0, a1, a2); return; } super.demote(a0, a1, a2); }
public void doneWithRound() { if (isClone) { loadInstance(); instance.doneWithRound(); return; } super.doneWithRound(); }
public LBJ2.learn.Learner emptyClone() { if (isClone) { loadInstance(); return instance.emptyClone(); } return super.emptyClone(); }
public LBJ2.learn.Lexicon demandLexicon() { if (isClone) { loadInstance(); return instance.demandLexicon(); } return super.demandLexicon(); }
public void doneLearning() { if (isClone) { loadInstance(); instance.doneLearning(); return; } super.doneLearning(); }
new ExtendHeadsDecoder(new MDExtendHeads(), new BIODecoder(new MentionDetectorMyBIOHead())); MTypePredictor mTyper = new MTypePredictor();
Parser testParser = getTestParser(); if (testParserName != null) testParser = LBJ2.util.ClassUtils.getParser(testParserName, new Class[]{ String.class }, new String[]{ testFile }); MDExtendHeads classifier = new MDExtendHeads(); TestDiscrete tester = new TestDiscrete(); for (int i = 2; i < args.length; ++i) tester.addNull(args[i]); TestDiscrete.testDiscrete(tester, classifier, classifier.getLabeler(), testParser, true, 0);
public java.lang.String discreteValue(LBJ2.classify.FeatureVector a0) { if (isClone) { loadInstance(); return instance.discreteValue(a0); } return super.discreteValue(a0); }
public void demote(int[] a0, double[] a1, double a2) { if (isClone) { loadInstance(); instance.demote(a0, a1, a2); return; } super.demote(a0, a1, a2); }
public void doneWithRound() { if (isClone) { loadInstance(); instance.doneWithRound(); return; } super.doneWithRound(); }
public LBJ2.learn.Learner emptyClone() { if (isClone) { loadInstance(); return instance.emptyClone(); } return super.emptyClone(); }
public LBJ2.learn.Lexicon demandLexicon() { if (isClone) { loadInstance(); return instance.demandLexicon(); } return super.demandLexicon(); }
public void doneLearning() { if (isClone) { loadInstance(); instance.doneLearning(); return; } super.doneLearning(); }
new ExtendHeadsDecoder(new MDExtendHeads(), new BIODecoder(new MentionDetectorMyBIOHead())); MTypePredictor mTyper = new MTypePredictor();
public LBJ2.classify.FeatureVector classify(LBJ2.classify.FeatureVector a0) { if (isClone) { loadInstance(); return instance.classify(a0); } return super.classify(a0); }