Examples of testBag()

Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.DecisionList.testBag()

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    if(true) {
      ce = new ClassificationEvaluator();
      DecisionList dl = new DecisionList(bagEvents);
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        String result = dl.testBag(be.getFeatures());
        ce.logEvent(be.getClassLabel(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());     
      ce.pprintConfusionMatrix();
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.DecisionList.testBag()

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    if(false) {
      ce = new ClassificationEvaluator();
      DecisionList dl = new DecisionList(bagEvents);
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        String result = dl.testBag(be.getFeatures());
        ce.logEvent(be.getClassLabel(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());     
      ce.pprintConfusionMatrix();
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.DecisionTree.testBag()

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    if(true) {
      DecisionTree dt = new DecisionTree(bagEvents);
      dt.printTree();
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        String result = dt.testBag(be.getFeatures());
        ce.logEvent(be.getClassLabel(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());     
      ce.pprintConfusionMatrix();
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.DecisionTree.testBag()

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      ce = new ClassificationEvaluator();
      DecisionTree dt = new DecisionTree(bagEvents);
      dt.printTree();
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        String result = dt.testBag(be.getFeatures());
        ce.logEvent(be.getClassLabel(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());     
      ce.pprintConfusionMatrix();
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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    ce = new ClassificationEvaluator();
    MultinomialNaiveBayes mnb = new MultinomialNaiveBayes(bagEvents);
    for(int i=0;i<testBagEvents.size();i++) {
      BagEvent be = testBagEvents.get(i);
      //Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
      Map<String,Double> results = mnb.testBag(be.getFeatures());
      System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
      ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
    }
    System.out.println(ce.getAccuracy());
    System.out.println(ce.getKappa());     
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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    MultinomialNaiveBayes mnb = new MultinomialNaiveBayes(bagEvents);
    for(int i=0;i<testBagEvents.size();i++) {
      BagEvent be = testBagEvents.get(i);
      //Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
      Map<String,Double> results = mnb.testBag(be.getFeatures());
      System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
      ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
    }
    System.out.println(ce.getAccuracy());
    System.out.println(ce.getKappa());     
    ce.pprintConfusionMatrix();
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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      MultinomialNaiveBayes mnb = new MultinomialNaiveBayes(eventBags);
      for(int i=0;i<eventBags.size();i++) {
        BagEvent be = eventBags.get(i);
      //for(BagEvent be : eventBags) {
        Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
        System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
        ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
        String rf = "MNB:" + mnb.bestResult(results);
        Event e = events.get(i);
        String [] sa = new String[e.getContext().length + 1];
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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      MultinomialNaiveBayes mnb = new MultinomialNaiveBayes(eventBags);
      for(int i=0;i<eventBags.size();i++) {
        BagEvent be = eventBags.get(i);
      //for(BagEvent be : eventBags) {
        Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
        System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
        ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
        String rf = "MNB:" + mnb.bestResult(results);
        Event e = events.get(i);
        String [] sa = new String[e.getContext().length + 1];
        for(int j=0;j<e.getContext().length;j++) {
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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      ser.write(doc);
     
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        //Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
        Map<String,Double> results = mnb.testBag(be.getFeatures());
        System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
        ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
        if(!be.getClassLabel().equals(mnb.bestResult(results))) {
          System.out.println(be.getFeatures());
          System.out.println(bagsToSentences.get(be.getFeatures()));
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Examples of uk.ac.cam.ch.wwmm.ptc.experimental.classifiers.MultinomialNaiveBayes.testBag()

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      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        //Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
        Map<String,Double> results = mnb.testBag(be.getFeatures());
        System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
        ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
        if(!be.getClassLabel().equals(mnb.bestResult(results))) {
          System.out.println(be.getFeatures());
          System.out.println(bagsToSentences.get(be.getFeatures()));
        }
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