Пример #1
0
 public LinearClassifier batchTrain(ArrayList<ClassificationInstance> trainingData) {
   LinearClassifier w = new LinearClassifier(xAlphabet, yAlphabet, fxy);
   LinearClassifier theta = null;
   if (performAveraging) theta = new LinearClassifier(xAlphabet, yAlphabet, fxy);
   for (int iter = 0; iter < numIterations; iter++) {
     for (ClassificationInstance inst : trainingData) {
       int yhat = w.label(inst.x);
       if (yhat != inst.y) {
         StaticUtils.plusEquals(w.w, fxy.apply(inst.x, inst.y));
         StaticUtils.plusEquals(w.w, fxy.apply(inst.x, yhat), -1);
       }
       if (performAveraging) StaticUtils.plusEquals(theta.w, w.w, 1);
     }
   }
   if (performAveraging) return theta;
   return w;
 }
Пример #2
0
 public static void main(String[] args) throws IOException {
   // read in the data.
   ArrayList<ClassificationInstance> allData =
       (new InternetAdReader(new Alphabet(), new Alphabet())).readFile(args[0]);
   StaticUtils.shuffle(allData, 0);
   // randomly split data into training and testing part
   ArrayList<ClassificationInstance>[] tmp = StaticUtils.split(allData, 200);
   ArrayList<ClassificationInstance> train = tmp[0];
   ArrayList<ClassificationInstance> test = tmp[1];
   Alphabet xA = allData.get(0).xAlphabet;
   Alphabet yA = allData.get(0).yAlphabet;
   System.out.println("num Features = " + allData.get(0).xAlphabet.size());
   LinearClassifier h;
   h = trainAdaBoost(50, train, xA, yA);
   System.out.println("Boost  Train Accuracy = " + StaticUtils.computeAccuracy(h, train));
   System.out.println("Boost  Test  Accuracy = " + StaticUtils.computeAccuracy(h, test));
   h = trainMaxEnt(train, xA, yA);
   // print out accuracy
   System.out.println("MaxEnt Train Accuracy = " + StaticUtils.computeAccuracy(h, train));
   System.out.println("MaxEnt Test  Accuracy = " + StaticUtils.computeAccuracy(h, test));
   h = trainNaivBayes(train, xA, yA);
   // print out accuracy
   System.out.println("NaiveB Train Accuracy = " + StaticUtils.computeAccuracy(h, train));
   System.out.println("NaiveB Test  Accuracy = " + StaticUtils.computeAccuracy(h, test));
   h = trainPerceptron(false, 20, train, xA, yA);
   System.out.println("Percep Train Accuracy = " + StaticUtils.computeAccuracy(h, train));
   System.out.println("Percep Test  Accuracy = " + StaticUtils.computeAccuracy(h, test));
   h = trainPerceptron(true, 20, train, xA, yA);
   System.out.println("AvgPer Train Accuracy = " + StaticUtils.computeAccuracy(h, train));
   System.out.println("AvgPer Test  Accuracy = " + StaticUtils.computeAccuracy(h, test));
 }