public void HypothesisThrowsArgumentOutOfRangeExceptionIfXsCountPlusOneIsNotEqualToThetasCount()
{
// arrange
IList <double> xs = new double[2];
IList <double> thetas = new double[4];
// act
LogisticRegression.Hypothesis(xs, thetas);
// assert
Assert.Fail();
}
public void HypothesisThrowsExceptionIfThetasIsNull()
{
// arrange
IList <double> xs = new double[0];
IList <double> thetas = null;
// act
LogisticRegression.Hypothesis(xs, thetas);
// assert
Assert.Fail();
}
public void HypothesisReturnsCorrectResultForTestData()
{
// arrange
IList <double> xs = new double[] { -1, -2 };
IList <double> thetas = new double[] { 9, 8, 7 };
var expectedResult = LogisticRegression.Sigmoid(thetas[0] + thetas[1] * xs[0] + thetas[2] * xs[1]);
// act
var result = LogisticRegression.Hypothesis(xs, thetas);
// assert
Assert.AreEqual(expectedResult, result, 1E-13);
}
public void HypothesisReturnsThetaZeroSigmoidIfXsIsEmpty()
{
// arrange
var rnd = new Random();
var randomDouble = rnd.NextDouble();
var expectedResult = LogisticRegression.Sigmoid(randomDouble);
IList <double> xs = new double[0];
IList <double> thetas = new double[] { randomDouble };
// act
var result = LogisticRegression.Hypothesis(xs, thetas);
// assert
Assert.AreEqual(expectedResult, result, 1E-13);
}
