Examples of com.jgaap.util.Document.addEventSet()

com.jgaap.util.Document.addEventSet()
Adds a mapping of an EventDriver used on this Document to the EventSet generated by using the EventDriver on it @param eventDriver @param eventSet

    unknown1.addEvent(new Event("a", null));
    unknown1.addEvent(new Event("little", null));
    unknown1.addEvent(new Event("beta", null));


    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown1);


    //Classify unknown based on the knowns
    WEKAMultilayerPerceptron tree = new WEKAMultilayerPerceptron();
    List<List<Pair<String, Double>>> t = new ArrayList<List<Pair<String,Double>>>(); 
    tree.train(knowns);

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    known5.addEvent(new Event("seashore", null));
    //known5.setAuthor("Susie");


    Document knownDocument5 = new Document();
    knownDocument5.setAuthor("Susie");
    knownDocument5.addEventSet(null, known5);
    knowns.add(knownDocument5);
    
    t = new ArrayList<List<Pair<String,Double>>>(); 
    tree.train(knowns);
    t.add(tree.analyze(unknownDocument));

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    unknown2.addEvent(new Event("picked", null));
    unknown2.addEvent(new Event("a", null));
    unknown2.addEvent(new Event("shells", null));


    Document unknownDocument2 = new Document();
    unknownDocument2.addEventSet(null, unknown2);


    t = new ArrayList<List<Pair<String,Double>>>(); 
    tree.train(knowns);
    t.add(tree.analyze(unknownDocument));
    t.add(tree.analyze(unknownDocument2));

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    unknown3.addEvent(new Event("a", null));
    unknown3.addEvent(new Event("little", null));
    unknown3.addEvent(new Event("lamb", null));
    
    Document unknownDocument3 = new Document();
    unknownDocument3.addEventSet(null, unknown3);
    
    //t = tree.analyze(uesv, esv);
    tree = new WEKAMultilayerPerceptron();
    t = new ArrayList<List<Pair<String,Double>>>(); 
    tree.train(knowns);

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    known6.addEvent(new Event("seashore", null));
    //known6.setAuthor("Susie");


    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);

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    knownDocument3.setAuthor("Mary");
    knownDocument3.addEventSet(null, known3);
    knowns.add(knownDocument3);
    Document knownDocument4 = new Document();
    knownDocument4.setAuthor("Peter");
    knownDocument4.addEventSet(null, known4);
    knowns.add(knownDocument4);
    Document knownDocument6 = new Document();
    knownDocument6.setAuthor("Susie");
    knownDocument6.addEventSet(null, known6);
    knowns.add(knownDocument6);

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    knownDocument4.setAuthor("Peter");
    knownDocument4.addEventSet(null, known4);
    knowns.add(knownDocument4);
    Document knownDocument6 = new Document();
    knownDocument6.setAuthor("Susie");
    knownDocument6.addEventSet(null, known6);
    knowns.add(knownDocument6);
    
    tree = new WEKAMultilayerPerceptron();
    t = new ArrayList<List<Pair<String,Double>>>(); 
    tree.train(knowns);

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    unknown.addEvent(new Event("snow.", null));


    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);

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    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 unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown);

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    knownDocument2.setAuthor("Peter");
    knownDocument2.addEventSet(null, known2);
    knowns.add(knownDocument2);
    
    Document unknownDocument = new Document();
    unknownDocument.addEventSet(null, unknown);
    
    AnalysisDriver analysisDriver = new MahalanobisDistance();
    analysisDriver.train(knowns);
    List<Pair<String, Double>> t = analysisDriver.analyze(unknownDocument);
    for(Pair<String, Double> element : t){

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