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($"a b c d e f g h i j k l m n o p");
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.GoodEventCount.Should().Be(5);
bayes.BadEventCount.Should().Be(5);
bayes.TokenCount.Should().Be(26);
string test;
double val;
test = "a";
bayes.GetBadProbability(test).Should().Be(0);
test = "A";
bayes.GetBadProbability(test).Should().Be(0);
test = "z";
bayes.GetBadProbability(test).Should().Be(1);
test = "a z";
bayes.GetBadProbability(test).Should().Be(0.5);
test = "A Z";
bayes.GetBadProbability(test).Should().Be(0.5);
test = "a b z";
val = bayes.GetBadProbability(test);
val.Should().BeApproximately(1.0 / 3.0, double.Epsilon);
test = "a y z";
val = bayes.GetBadProbability(test);
val.Should().BeApproximately(2.0 / 3.0, double.Epsilon);
bayes.AutoTrain = true; // Only happens if result passes threshold test.
test = "a b c d e f g h i j k l m n o p q";
val = bayes.GetBadProbability(test);
val.Should().BeInRange(0.06, 0.07); // 0.06...
val = bayes.GetBadProbability(test);
val.Should().BeInRange(0.05, 0.06); // 0.05...
val = bayes.GetBadProbability(test);
val.Should().BeInRange(0.04, 0.05); // 0.04...
}
}
public void TestTrainBad()
{
using (var bayes = new BfEngine(new ConsolePlatformServices()))
{
bayes.TrainAsBad("q r s t u v w x y z");
bayes.TrainAsBad("q r s t u v w x y z");
bayes.GoodEventCount.Should().Be(0);
bayes.BadEventCount.Should().Be(2);
bayes.TokenCount.Should().Be(10);
}
}
static async Task Main(string[] args)
{
using (var bayes = new BfEngine(new ConsolePlatformServices()))
{
// Train 5 times to reach MinTokenOccurrence.
bayes.TrainAsGood($"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}");
await SaveLoadTestAsync(bayes).ConfigureAwait(false);
// Perf test.
//RunPerfTest(bayes, test);
Console.WriteLine("Press any key to continue . . .");
Console.ReadKey();
}
}