Package com.jgaap.util

Examples of com.jgaap.util.Event

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    EventSet sampleEventSet = eventDriver.createEventSet(text.toCharArray());
    EventSet expectedEventSet = new NumericEventSet();
    Vector<Event> tmp = new Vector<Event>();


    tmp.add(new Event("662.09", eventDriver));
    tmp.add(new Event("646.40", eventDriver));
    tmp.add(new Event("686.11", eventDriver));
    tmp.add(new Event("596.54", eventDriver));
    tmp.add(new Event("792.69", eventDriver));
    tmp.add(new Event("623.96", eventDriver));
    tmp.add(new Event("635.16", eventDriver));
    tmp.add(new Event("590.08", eventDriver));
    tmp.add(new Event("694.85", eventDriver));
    tmp.add(new Event("662.57", eventDriver));
    tmp.add(new Event("732.70", eventDriver));
    tmp.add(new Event("687.12", eventDriver));
    tmp.add(new Event("639.86", eventDriver));
    tmp.add(new Event("672.37", eventDriver));
    tmp.add(new Event("613.83", eventDriver));
    tmp.add(new Event("756.00", eventDriver));
    tmp.add(new Event("822.64", eventDriver));

    expectedEventSet.addEvents(tmp);

// System.out.println("Expected is " + expectedEventSet.toString());/
// System.out.println("Actual is " + sampleEventSet.toString());
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    //System.out.println(p.toString());
   
    List<EventSet> events = new ArrayList<EventSet>();
    List<EventSet> expected = new ArrayList<EventSet>();
    EventSet holder = new EventSet();
    holder.addEvent(new Event("This", null));
    holder.addEvent(new Event("is", null));
    holder.addEvent(new Event("a", null));
    holder.addEvent(new Event("test.", null));
    events.add(holder);
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("This", null));
    holder.addEvent(new Event("is", null));
    holder.addEvent(new Event("another", null));
    holder.addEvent(new Event("test.", null));
    events.add(holder);
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    events.add(holder);
    expected.add(new EventSet());
   
    try {
      p.init(events);
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    p.setParameter("maxPercent", 0.25);
    //System.out.println(p.toString());
   
    List<EventSet> events = new ArrayList<EventSet>();
    EventSet holder = new EventSet();
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("blah", null));
    events.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("it", null));
    holder.addEvent(new Event("is", null));
    holder.addEvent(new Event("test", null));
    events.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("blah", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    events.add(holder);
   
    List<EventSet> expected = new ArrayList<EventSet>();
    holder = new EventSet();
    holder.addEvent(new Event("blah", null));
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("it", null));
    holder.addEvent(new Event("is", null));
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("blah", null));
    expected.add(holder);
   
    try {
      p.init(events);
      for(int i = 0; i < events.size(); i++){
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    p.setParameter("maxPercent", 0.75);
    //System.out.println(p.toString());
   
    List<EventSet> events = new ArrayList<EventSet>();
    EventSet holder = new EventSet();
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("blah", null));
    events.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("it", null));
    holder.addEvent(new Event("is", null));
    holder.addEvent(new Event("test", null));
    events.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("blah", null));
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    events.add(holder);
   
    List<EventSet> expected = new ArrayList<EventSet>();
    holder = new EventSet();
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("test", null));
    expected.add(holder);
    holder = new EventSet();
    holder.addEvent(new Event("test", null));
    holder.addEvent(new Event("test", null));
    expected.add(holder);
   
    try {
      p.init(events);
      for(int i = 0; i < events.size(); i++){
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    EventSet known2 = new EventSet();
    EventSet known3 = new EventSet();
    EventSet known4 = new EventSet();
    EventSet unknown = new EventSet();

    known1.addEvent(new Event("alpha", null));
    known1.addEvent(new Event("alpha", null));
    known1.addEvent(new Event("alpha", null));
    known1.addEvent(new Event("alpha", null));
    known1.addEvent(new Event("betta", null));
    //known1.setAuthor("Mary");
   
    known3.addEvent(new Event("alpha", null));
    known3.addEvent(new Event("alpha", null));
    known3.addEvent(new Event("alpha", null));
    known3.addEvent(new Event("betta", null));
    known3.addEvent(new Event("betta", null));
    //known3.setAuthor("Mary");

    known2.addEvent(new Event("alpha", null));
    known2.addEvent(new Event("betta", null));
    known2.addEvent(new Event("betta", null));
    known2.addEvent(new Event("betta", null));
    known2.addEvent(new Event("betta", null));
    //known2.setAuthor("Peter");
   
    known4.addEvent(new Event("alpha", null));
    known4.addEvent(new Event("alpha", null));
    known4.addEvent(new Event("betta", null));
    known4.addEvent(new Event("betta", null));
    known4.addEvent(new Event("betta", null));
    //known4.setAuthor("Peter");

    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("alpha", null));
   
    double[] probs = new double[2];
    //R code : pnorm(80,70,sqrt(200),lower.tail=FALSE)*pnorm(20,30,sqrt(200))*.5
    probs[0] = 0.02874005; //Mary
    //R code : pnorm(80,30,sqrt(200),lower.tail=FALSE)*pnorm(20,70,sqrt(200))*.5
    probs[1] = 2.070124e-08; //Peter
    weka.core.Utils.normalize(probs);
   
    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown);
   
    List<Document> knowns = new ArrayList<Document>();
    Document knownDocument1 = new Document();
    knownDocument1.setAuthor("Mary");
    knownDocument1.addEventSet(null, known1);
    knowns.add(knownDocument1);
    Document knownDocument2 = new Document();
    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
    Document knownDocument3 = new Document();
    knownDocument3.setAuthor("Mary");
    knownDocument3.addEventSet(null, known3);
    knowns.add(knownDocument3);
    Document knownDocument4 = new Document();
    knownDocument4.setAuthor("Peter");
    knownDocument4.addEventSet(null, known4);
    knowns.add(knownDocument4);

    WEKANaiveBayes classifier = new WEKANaiveBayes();
    classifier.train(knowns);
    List<Pair<String, Double>> t = classifier.analyze(unknownDocument);


    // Assert that the probability for each author match within a threshold
    if (t.get(0).getFirst().equals("Mary")) {
      assertTrue(Math.abs(t.get(0).getSecond() - probs[0]) < .005
          && Math.abs(t.get(1).getSecond() - probs[1]) < .005);
    } else {
      assertTrue(Math.abs(t.get(1).getSecond() - probs[0]) < .005
          && Math.abs(t.get(0).getSecond() - probs[1]) < .005);
    }
   
    //Test 2
    unknown = new EventSet();
   
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("betta", null));
   
    unknownDocument.addEventSet(null, unknown);
   
    //R code : pnorm(60,70,sqrt(200))*pnorm(40,30,sqrt(200),lower.tail=FALSE)*.5
    probs[0] = 0.02874005; //Mary
    //R code : pnorm(60,30,sqrt(200),lower.tail=FALSE)*pnorm(40,70,sqrt(200))*.5
    probs[1] = 0.0001436076; //Peter
    weka.core.Utils.normalize(probs);
   
    classifier = new WEKANaiveBayes();
    classifier.train(knowns);
    t = classifier.analyze(unknownDocument);
   
    /*System.out.println("Classified");
    System.out.println("First : "+t.get(0).getFirst()+" "+t.get(0).getSecond());
    System.out.println("Second: "+t.get(1).getFirst()+" "+t.get(1).getSecond());
    System.out.println("Expected");
    System.out.println("First : Mary "+probs[0]);
    System.out.println("Second: Peter "+probs[1]);*/
   
    if(t.get(0).getFirst().equals("Mary")){
      assertTrue(Math.abs(t.get(0).getSecond()-probs[0])<.005 && Math.abs(t.get(1).getSecond()-probs[1])<.005);
    }else{
      assertTrue(Math.abs(t.get(1).getSecond()-probs[0])<.005 && Math.abs(t.get(0).getSecond()-probs[1])<.005);
    }

   
    //Test 3
    unknown = new EventSet();
   
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
   
    unknownDocument.addEventSet(null, unknown);
   
    probs[0] = .5; //Mary
    probs[1] = .5; //Peter
   
    classifier = new WEKANaiveBayes();
    classifier.train(knowns);
    t = classifier.analyze(unknownDocument);
   
    if(t.get(0).getFirst().equals("Mary")){
      assertTrue(Math.abs(t.get(0).getSecond()-probs[0])<.005 && Math.abs(t.get(1).getSecond()-probs[1])<.005);
    }else{
      assertTrue(Math.abs(t.get(1).getSecond()-probs[0])<.005 && Math.abs(t.get(0).getSecond()-probs[1])<.005);

    }

   
    //Test 4
    unknown = new EventSet();
   
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("alpha", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
   
    unknownDocument.addEventSet(null, unknown);
   
    //R code : pnorm(40,70,sqrt(200))*pnorm(60,30,sqrt(200),lower.tail=FALSE)*.5
    probs[0] = 0.0001436076; //Mary
    //R code : pnorm(40,30,sqrt(200),lower.tail=FALSE)*pnorm(60,70,sqrt(200))*.5
    probs[1] = 0.02874005; //Peter
    weka.core.Utils.normalize(probs);
   
    classifier = new WEKANaiveBayes();
    classifier.train(knowns);
    t = classifier.analyze(unknownDocument);
   
    /*System.out.println("Classified");
    System.out.println(t.get(0).getFirst()+" "+t.get(0).getSecond());
    System.out.println(t.get(1).getFirst()+" "+t.get(1).getSecond());
    System.out.println("Expected");
    System.out.println("Mary "+probs[0]);
    System.out.println("Peter "+probs[1]);*/
   
    if(t.get(0).getFirst().equals("Mary")){
      assertTrue(Math.abs(t.get(0).getSecond()-probs[0])<.005 && Math.abs(t.get(1).getSecond()-probs[1])<.005);
    }else{
      assertTrue(Math.abs(t.get(1).getSecond()-probs[0])<.005 && Math.abs(t.get(0).getSecond()-probs[1])<.005);
    }

   
    //Test 5
    unknown = new EventSet();
   
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
   
    unknownDocument.addEventSet(null, unknown);
   
    //R code : pnorm(0,70,sqrt(200))*pnorm(100,30,sqrt(200),lower.tail=FALSE)*.5
    probs[0] = 6.90244e-14; //Mary
    //R code : pnorm(0,30,sqrt(200))*pnorm(100,70,sqrt(200),lower.tail=FALSE)*.5
    probs[1] = 0.0001436076; //Peter
    weka.core.Utils.normalize(probs);
   
    classifier = new WEKANaiveBayes();
    classifier.train(knowns);
    t = classifier.analyze(unknownDocument);
   
    System.out.println("Classified");
    System.out.println(t.get(0).getFirst()+" "+t.get(0).getSecond());
    System.out.println(t.get(1).getFirst()+" "+t.get(1).getSecond());
    System.out.println("Expected");
    System.out.println("Mary "+probs[0]);
    System.out.println("Peter "+probs[1]);
   
    if(t.get(0).getFirst().equals("Mary")){
      assertTrue(Math.abs(t.get(0).getSecond()-probs[0])<.005 && Math.abs(t.get(1).getSecond()-probs[1])<.005);
    }else{
      assertTrue(Math.abs(t.get(1).getSecond()-probs[0])<.005 && Math.abs(t.get(0).getSecond()-probs[1])<.005);

    }

   
    //Test 6
    unknown = new EventSet();
   
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("betta", null));
    unknown.addEvent(new Event("gamma", null));
    unknown.addEvent(new Event("betta", null));
   
    unknownDocument.addEventSet(null, unknown);;
   
    //R code : pnorm(0,70,sqrt(200))*pnorm(80,30,sqrt(200),lower.tail=FALSE)*.5*1e-50
    probs[0] = 3.780067e-61; //Mary
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    EventSet sampleEventSet = ed.createEventSet(text.toCharArray());
    EventSet expectedEventSet = new EventSet();
    Vector<Event> tmp = new Vector<Event>();

    tmp.add(new Event("aaa", ed));
    tmp.add(new Event("bbb", ed));
    tmp.add(new Event("ccc", ed));
    tmp.add(new Event("aaaa", ed));
    tmp.add(new Event("bbbb", ed));
    tmp.add(new Event("cccc", ed));
    tmp.add(new Event("AAA", ed));
    tmp.add(new Event("BBB", ed));
    tmp.add(new Event("CCC", ed));
    tmp.add(new Event("AAAA", ed));
    tmp.add(new Event("BBBB", ed));
    tmp.add(new Event("CCCC", ed));
    tmp.add(new Event("333", ed));
    tmp.add(new Event("4444", ed));
    tmp.add(new Event("###", ed));
    tmp.add(new Event("$$$$", ed));


    expectedEventSet.addEvents(tmp);
    // System.out.println(sampleEventSet.toString());
    // System.out.println(expectedEventSet.toString());
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      ed.setParameter("N","5");
      EventSet sampleSet = ed.createEventSet(text.toCharArray());   

      EventSet expectedSet = new EventSet();
      Vector<Event> tmp = new Vector<Event>();
      tmp.add(new Event("four", ed));
      tmp.add(new Event("four", ed));
      tmp.add(new Event("four", ed));
      tmp.add(new Event("four", ed));
      tmp.add(new Event("five", ed));
      tmp.add(new Event("five", ed));
      tmp.add(new Event("five", ed));
      tmp.add(new Event("five", ed));
      tmp.add(new Event("five", ed));

      expectedSet.addEvents(tmp);    
      System.out.println(sampleSet.toString());
      assertTrue(expectedSet.equals(sampleSet));
      }
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    String current = new String(text);
    // \s is shorthand for whitespace, remember the \\ to get the \
    String[] result = current.split("\\s+");
    for (int j = 0; j < result.length; j++) {
      if (result[j].length() > 0) {
        es.addEvent(new Event(result[j], this));
      }
    }
    return es;
  }
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    EventDriver eventDriver = new VowelInitialWordEventDriver();
    EventSet sampleEventSet = eventDriver.createEventSet(text.toCharArray());
    EventSet expectedEventSet = new EventSet();
    Vector<Event> tmp = new Vector<Event>();

    tmp.add(new Event("alpha", eventDriver));
    tmp.add(new Event("echo", eventDriver));
    tmp.add(new Event("india", eventDriver));
    tmp.add(new Event("oscar", eventDriver));
    tmp.add(new Event("uniform", eventDriver));
    tmp.add(new Event("yankee", eventDriver));
    tmp.add(new Event("Alpha", eventDriver));
    tmp.add(new Event("Echo", eventDriver));
    tmp.add(new Event("India", eventDriver));
    tmp.add(new Event("Oscar", eventDriver));
    tmp.add(new Event("Uniform", eventDriver));
    tmp.add(new Event("Yankee", eventDriver));

    expectedEventSet.addEvents(tmp);
    assertTrue(expectedEventSet.equals(sampleEventSet));
  }
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public class VarianceCullerTest {
  @Test
  public void testProcess() throws EventCullingException {
    List<EventSet> eventSets = new ArrayList<EventSet>();
    EventSet eventSet1 = new EventSet();
    eventSet1.addEvent(new Event("A", null));
    eventSet1.addEvent(new Event("A", null));
    eventSet1.addEvent(new Event("A", null));
    eventSet1.addEvent(new Event("A", null));
    eventSet1.addEvent(new Event("A", null));
    eventSet1.addEvent(new Event("B", null));
    eventSet1.addEvent(new Event("B", null));
    eventSet1.addEvent(new Event("B", null));
    eventSet1.addEvent(new Event("C", null));
    eventSets.add(eventSet1);
    EventSet eventSet2 = new EventSet();
    eventSet2.addEvent(new Event("A", null));
    eventSet2.addEvent(new Event("B", null));
    eventSet2.addEvent(new Event("C", null));
    eventSet2.addEvent(new Event("D", null));
    eventSet2.addEvent(new Event("E", null));
    eventSet2.addEvent(new Event("F", null));
    eventSet2.addEvent(new Event("F", null));
    eventSet2.addEvent(new Event("G", null));
    eventSet2.addEvent(new Event("H", null));
    eventSets.add(eventSet2);
    EventSet eventSet3 = new EventSet();
    eventSet3.addEvent(new Event("E", null));
    eventSet3.addEvent(new Event("E", null));
    eventSet3.addEvent(new Event("E", null));
    eventSet3.addEvent(new Event("F", null));
    eventSet3.addEvent(new Event("A", null));
    eventSet3.addEvent(new Event("B", null));
    eventSet3.addEvent(new Event("D", null));
    eventSet3.addEvent(new Event("H", null));
    eventSet3.addEvent(new Event("C", null));
    eventSets.add(eventSet3);

    VarianceCuller culler = new VarianceCuller();
        culler.setParameter("numEvents", 4);
        Set<Event> results = culler.train(eventSets);
    Set<Event> expected = new HashSet<Event>();
    expected.add(new Event("A", null));
    expected.add(new Event("B", null)); 
    expected.add(new Event("E", null));   
    expected.add(new Event("F", null));
    assertTrue(results.equals(expected));
   
 
  }
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