public static Strategy createDemoSingleBayesStrategy()
{
Console.WriteLine("Naive Bayes Classifier> Building up ....");
List<Transmitter> tempT = new List<Transmitter>();
Strategy tempS = new Strategy(0, tempT);
tempT.Add(new ClassifierMLBayes(ClassifierLearnableBayesType.Naive));
tempT.Add(new Speaker("normal", tempS)); // 1
tempT.Add(new Speaker("spam", tempS)); // 2
tempS.connectClassifier(0, 1, "GOOD");
tempS.connectClassifier(0, 2, "BAD");
// 训练过程
ClassifierMLBayes c0 = (ClassifierMLBayes)tempT[0];
c0._filter = new FilterToLowcase();
c0._detector = new DetectorSpace();
c0.train("Nobody owns the water", "GOOD");
c0.train("the quick rabbit jumps fences", "GOOD");
c0.train("the quick brown fox jumps", "GOOD");
c0.train("buy pharmaceuticals now!", "BAD");
c0.train("make quick money at the online casino.", "BAD");
c0.showModelInfo(null, true);
//teachWithFile(c0, "../Data/DP/TrainData.txt");
return tempS;
}
public static Strategy createDemoSingleBayesStrategy()
{
Console.WriteLine("Naive Bayes Classifier> Building up ....");
List <Transmitter> tempT = new List <Transmitter>();
Strategy tempS = new Strategy(0, tempT);
tempT.Add(new ClassifierMLBayes(ClassifierLearnableBayesType.Naive));
tempT.Add(new Speaker("normal", tempS)); // 1
tempT.Add(new Speaker("spam", tempS)); // 2
tempS.connectClassifier(0, 1, "GOOD");
tempS.connectClassifier(0, 2, "BAD");
// 训练过程
ClassifierMLBayes c0 = (ClassifierMLBayes)tempT[0];
c0._filter = new FilterToLowcase();
c0._detector = new DetectorSpace();
c0.train("Nobody owns the water", "GOOD");
c0.train("the quick rabbit jumps fences", "GOOD");
c0.train("the quick brown fox jumps", "GOOD");
c0.train("buy pharmaceuticals now!", "BAD");
c0.train("make quick money at the online casino.", "BAD");
c0.showModelInfo(null, true);
//teachWithFile(c0, "../Data/DP/TrainData.txt");
return(tempS);
}
public static Strategy createDemoNormalStrategy()
{
Console.WriteLine("Normal Classifier > Building up ....");
List <Transmitter> tempT = new List <Transmitter>();
Strategy tempS = new Strategy(0, tempT);
tempT.Add(new ClassifierHaveNumber());
tempT.Add(new ClassifierLength10());
tempT.Add(new ClassifierUppercase());
tempT.Add(new Speaker("Category01", tempS));
tempT.Add(new Speaker("Category02", tempS));
tempT.Add(new Speaker("Category03", tempS));
tempS.connectClassifier(0, 1, "HaveNumber");
tempS.connectClassifier(0, 2, "NoNumber");
tempS.connectClassifier(1, 3, "Length>10");
tempS.connectClassifier(1, 4, "Length<=10");
tempS.connectClassifier(2, 4, "HaveUppercase");
tempS.connectClassifier(2, 5, "NoUppercase");
return(tempS);
}
public static Strategy createDemoNormalStrategy()
{
Console.WriteLine("Normal Classifier > Building up ....");
List<Transmitter> tempT = new List<Transmitter>();
Strategy tempS = new Strategy(0, tempT);
tempT.Add(new ClassifierHaveNumber());
tempT.Add(new ClassifierLength10());
tempT.Add(new ClassifierUppercase());
tempT.Add(new Speaker("Category01", tempS));
tempT.Add(new Speaker("Category02", tempS));
tempT.Add(new Speaker("Category03", tempS));
tempS.connectClassifier(0, 1, "HaveNumber");
tempS.connectClassifier(0, 2, "NoNumber");
tempS.connectClassifier(1, 3, "Length>10");
tempS.connectClassifier(1, 4, "Length<=10");
tempS.connectClassifier(2, 4, "HaveUppercase");
tempS.connectClassifier(2, 5, "NoUppercase");
return tempS;
}
