public void TestEvaluate()
{
using (var bayes = new BFEngine(new ConsolePlatformServices()))
{
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
Assert.AreEqual(bayes.GoodEventCount, 5);
Assert.AreEqual(bayes.BadEventCount, 5);
Assert.AreEqual(bayes.TokenCount, 26);
string test;
double val;
test = "a";
Assert.AreEqual(0, bayes.GetBadProbability(test));
test = "A";
Assert.AreEqual(0, bayes.GetBadProbability(test));
test = "z";
Assert.AreEqual(1, bayes.GetBadProbability(test));
test = "a z";
Assert.AreEqual(0.5, bayes.GetBadProbability(test));
test = "A Z";
Assert.AreEqual(0.5, bayes.GetBadProbability(test));
test = "a b z";
val = bayes.GetBadProbability(test);
Assert.AreEqual(1.0 / 3.0, val, double.Epsilon);
test = "a y z";
val = bayes.GetBadProbability(test);
Assert.AreEqual(2.0 / 3.0, val, double.Epsilon);
bayes.AutoTrain = true; // Only happens if result passes threshold test.
test = "a b c d e f g h i j k l m n o p q";
val = bayes.GetBadProbability(test);
Assert.IsTrue(val > 0.06 && val < 0.07); // 0.06...
val = bayes.GetBadProbability(test);
Assert.IsTrue(val > 0.05 && val < 0.06); // 0.05...
val = bayes.GetBadProbability(test);
Assert.IsTrue(val > 0.04 && val < 0.05); // 0.04...
}
}
static void Main(string[] args)
{
using (var bayes = new BFEngine(new ConsolePlatformServices()))
{
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
bayes.TrainAsGood($"a b c d e f g h i j k l m n o p");
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
Console.WriteLine($"Good events: {bayes.GoodEventCount} | Bad events: {bayes.BadEventCount} | Token Count: {bayes.TokenCount}.");
string test;
test = "a b c d e f g h i j k l m n o p q r s t u v w x y z"; // 26
//test = "a b c d e f g h i j p q r s"; // 14
//test = "a b c d e f g h i j p q r s t"; // 15
Console.WriteLine($"Evaluate \"{test}\": {bayes.GetBadProbability(test):0.00}");
test = "a b c d e f g h i j k l m n o p q aa";
bayes.AutoTrain = true; // Only happens if result passes threshold test.
Console.WriteLine($"Evaluate \"{test}\": {bayes.GetBadProbability(test):0.00}");
Console.WriteLine($"Evaluate \"{test}\": {bayes.GetBadProbability(test):0.00}");
Console.WriteLine($"Evaluate \"{test}\": {bayes.GetBadProbability(test):0.00}");
//SaveLoadTest(bayes);
// Perf test.
//RunPerfTest(bayes, test);
Console.WriteLine("Press any key to continue . . .");
Console.ReadKey(true);
}
}
private static void RunPerfTest(BFEngine bayes, string test)
{
int length = 10000;
var watch = Stopwatch.StartNew();
for (int i = 0; i < length; i++)
{
double prob = bayes.GetBadProbability(test);
}
watch.Stop();
Console.WriteLine($"Ellapsed: {watch.ElapsedMilliseconds} ms.");
}