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 void add(Strategy strategy, float weight)
{
_strategies.Add(strategy);
_weights.Add(weight);
}
protected Strategy _strategy; // 自己汇报的strategy
#endregion Fields
#region Constructors
public Speaker(string finalCategory, Strategy strategy)
{
_finalCategory = finalCategory;
_strategy = strategy;
}
public static void testBinary(Strategy strategy, string testFileName)
{
DateTime dt = DateTime.Now;
Console.WriteLine("start testing ...");
StreamReader sr = new StreamReader(testFileName);
int[] whiteReal = { 0, 0 };
int[] blackReal = { 0, 0 };
string line = "";
while (!string.IsNullOrEmpty(line = sr.ReadLine()))
{
if (line.Equals("1") || line.Equals("GOOD")) // is White
{
line = sr.ReadLine();
if (strategy.judgeItem(line).Equals("GOOD"))
{
whiteReal[0]++;
}
else // SPAM
{
whiteReal[1]++;
}
}
else // is Black
{
line = sr.ReadLine();
if (strategy.judgeItem(line).Equals("GOOD"))
{
blackReal[0]++;
}
else // SPAM
{
blackReal[1]++;
}
}
}
sr.Close();
Console.WriteLine("stop testing ...");
Console.WriteLine(DateTime.Now - dt);
StringBuilder sb = new StringBuilder(strategy._entrance);
sb.Append("\r\n");
sb.Append(testFileName);
sb.Append("\r\n");
sb.Append("----------------------------------------\r\n");
sb.Append("Man\\Com\tWhite\tBlack\tTotal\tRecall\r\n");
sb.Append(string.Format("White\t{0}\t{1}\t{2}\t{3:P}\r\n",
whiteReal[0],
whiteReal[1],
whiteReal[0] + whiteReal[1],
(float)(whiteReal[0]) / (whiteReal[0] + whiteReal[1])));
sb.Append(string.Format("Black\t{0}\t{1}\t{2}\t{3:P}\r\n",
blackReal[0],
blackReal[1],
blackReal[0] + blackReal[1],
(float)(blackReal[1]) / (blackReal[0] + blackReal[1])));
sb.Append(string.Format("Total\t{0}\t{1}\t{2}\r\n",
whiteReal[0] + blackReal[0],
whiteReal[1] + blackReal[1],
whiteReal[0] + blackReal[0] + whiteReal[1] + blackReal[1]));
sb.Append(string.Format("Prcison\t{0:P}\t{1:P}\r\n",
(float)whiteReal[0] / (whiteReal[0] + blackReal[0]),
(float)blackReal[1] / (whiteReal[1] + blackReal[1])));
sb.Append("\n");
sb.Append(string.Format("[Precision:{0:P}]\r\n",
(float)blackReal[1] / (whiteReal[1] + blackReal[1])));
sb.Append(string.Format("[Recall:{0:P}]\r\n",
(float)(blackReal[1]) / (blackReal[0] + blackReal[1])));
sb.Append("----------------------------------------\r\n");
Console.WriteLine(sb);
StreamWriter sw = new StreamWriter("../Data/Report.txt", true);
sw.Write(sb);
sw.Close();
}
