public void Classify_NegativeFeatures_LessThanFiftyPercent()
{
var unknown = new UnknownSample(GetFeatures(150000, 1));
Probability result = _binaryClassifier.Classify(GetKnownFacts(), unknown);
Assert.That(result.Value, Is.LessThan(0.5d));
}
public void Classify_PositiveFeatures_GreaterThanFiftyPercent()
{
var unknown = new UnknownSample(GetFeatures(3, 7));
Probability result = _binaryClassifier.Classify(GetKnownFacts(), unknown);
Assert.That(result.Value, Is.GreaterThan(0.5d));
}
public void TeachAndClassify()
{
var unknown = new UnknownSample(GetFeatures(3, 7));
double[] learning = _binaryClassifier.Teach(GetKnownFacts());
Probability result = _binaryClassifier.Classify(learning, unknown);
Assert.That(result.Value, Is.GreaterThan(0.5d));
}
public void Classify_TeachAndClassify_Compare()
{
var unknown = new UnknownSample(GetFeatures(3, 0));
double[] learning = _binaryClassifier.Teach(GetKnownFacts());
Probability indirect = _binaryClassifier.Classify(learning, unknown);
Probability direct = _binaryClassifier.Classify(GetKnownFacts(), unknown);
Assert.That(indirect, Is.EqualTo(direct));
}
public void Classify_PrintResults()
{
for (int age = 1; age < 100; age++)
{
for (int words = 0; words < 10; words++)
{
var unknown = new UnknownSample(GetFeatures(age, words));
Probability result = _binaryClassifier.Classify(GetKnownFacts(),
unknown);
Console.WriteLine(
"Age {0}, Words {1}, Probability {2}",
age,
words,
result);
}
}
}
public Probability Classify(double[] coefficients, UnknownSample unknown)
{
double probability = Compute(coefficients, GetInput(unknown));
return new Probability(probability);
}
public Probability Classify(KnownFacts known, UnknownSample unknown)
{
double probability = GetTaughtRegression(known).Compute(GetInput(unknown));
return new Probability(probability);
}
