Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 4; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 4; baseLTU = new SparseAveragedPerceptron(p); } }
Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
public Parameters() { SparseAveragedPerceptron.Parameters p = new SparseAveragedPerceptron.Parameters(); p.learningRate = .1; p.thickness = 2; baseLTU = new SparseAveragedPerceptron(p); } }
private NETaggerLevel2(boolean b) { super(new SparseAveragedPerceptron(.05, 0, 30)); containingPackage = "edu.illinois.cs.cogcomp.ner.LbjFeatures"; name = "NETaggerLevel2"; setEncoding(null); setLabeler(new NELabel()); setExtractor(new NETaggerLevel2$$1()); isClone = false; }
private NETaggerLevel1(boolean b) { super(new SparseAveragedPerceptron(.05, 0, 30)); containingPackage = "edu.illinois.cs.cogcomp.ner.LbjFeatures"; name = "NETaggerLevel1"; setEncoding(null); setLabeler(new NELabel()); setExtractor(new NETaggerLevel1$$1()); isClone = false; }
private LocalCommaClassifier(boolean b) { super(new SparseAveragedPerceptron(0.003, 0, 3.5)); containingPackage = "edu.illinois.cs.cogcomp.comma.lbj"; name = "LocalCommaClassifier"; setEncoding(null); setLabeler(new CommaLabel()); setExtractor(new LocalCommaClassifier$$1()); isClone = false; }
private NETaggerLevel1(boolean b) { super(new SparseAveragedPerceptron(.05, 0, 30)); containingPackage = "edu.illinois.cs.cogcomp.ner.LbjFeatures"; name = "NETaggerLevel1"; setEncoding(null); setLabeler(new NELabel()); setExtractor(new NETaggerLevel1$$1()); isClone = false; }
private NETaggerLevel1(boolean b) { super(new SparseAveragedPerceptron(.05, 0, 30)); containingPackage = "edu.illinois.cs.cogcomp.ner.LbjFeatures"; name = "NETaggerLevel1"; setEncoding(null); setLabeler(new NELabel()); setExtractor(new NETaggerLevel1$$1()); isClone = false; }
private NETaggerLevel2(boolean b) { super(new SparseAveragedPerceptron(.05, 0, 30)); containingPackage = "edu.illinois.cs.cogcomp.ner.LbjFeatures"; name = "NETaggerLevel2"; setEncoding(null); setLabeler(new NELabel()); setExtractor(new NETaggerLevel2$$1()); isClone = false; }
private LocalCommaClassifier(boolean b) { super(new SparseAveragedPerceptron(0.003, 0, 3.5)); containingPackage = "edu.illinois.cs.cogcomp.comma.lbj"; name = "LocalCommaClassifier"; setEncoding(null); setLabeler(new CommaLabel()); setExtractor(new LocalCommaClassifier$$1()); isClone = false; }