public void GoldenPath_Linear()
{
var myPredictor = new DataPredictor(10000000000);
myPredictor.AddData(0, -1);
myPredictor.AddData(1, 1);
myPredictor.AddData(3, 5);
myPredictor.AddData(4, 7);
var result = myPredictor.Predict(4);
Assert.IsTrue(result.HasPrediction);
Assert.AreEqual(19999999999, result.Prediction);
}
public void LotsOfPoints_Failure()
{
var myPredictor = new DataPredictor(100);
myPredictor.AddData(1, -1);
myPredictor.AddData(2, -2);
myPredictor.AddData(3, -3);
myPredictor.AddData(4, -4);
myPredictor.AddData(5, 55); // Oops! This data point means we can't find a good linear prediction.
myPredictor.AddData(6, -6);
var result = myPredictor.Predict(4);
Assert.IsFalse(result.HasPrediction);
}
public void LotsOfPoints_Success()
{
var myPredictor = new DataPredictor(100);
myPredictor.AddData(1, -1);
myPredictor.AddData(2, -2);
myPredictor.AddData(3, -3);
myPredictor.AddData(4, -4);
myPredictor.AddData(5, -5);
myPredictor.AddData(6, -6);
var result = myPredictor.Predict(5);
Assert.IsTrue(result.HasPrediction);
Assert.AreEqual(-100m, result.Prediction);
}
public void GoldenPath_Quadratic()
{
var myPredictor = new DataPredictor(7);
myPredictor.AddData(1, 1);
myPredictor.AddData(2, 3);
myPredictor.AddData(3, 6);
myPredictor.AddData(4, 10);
myPredictor.AddData(5, 15);
myPredictor.AddData(6, 21);
var result = myPredictor.Predict(4);
Assert.IsTrue(result.HasPrediction);
Assert.AreEqual(28, result.Prediction);
}
