public void CalculateNeighborhoodRadius_ItterationTwo_Success()
{
var som = new SOMap(5, 5, 2, 100, 0.5);
var radius = som.CalculateNeighborhoodRadius(2);
Assert.Equal(1.97, Math.Round(radius, 2));
}
public void GetDistanceDrop_DistanceTwoRadiusTwo_Success()
{
var som = new SOMap(5, 5, 2, 100, 0.5);
var distanceDrop = som.GetDistanceDrop(2, 2);
Assert.Equal(0.37, Math.Round(distanceDrop, 2));
}
public void GetNeuron_CorrectIndexes_Success()
{
var som = new SOMap(5, 5, 2, 100, 0.5);
var neuron = som.GetNeuron(4, 4);
Assert.NotNull(neuron);
}
public void Train_UseCase_Success()
{
var inputVector = new Vector();
inputVector.Add(2);
inputVector.Add(2);
var input = new Vector[10]
{
inputVector,
inputVector,
inputVector,
inputVector,
inputVector,
inputVector,
inputVector,
inputVector,
inputVector,
inputVector
};
var som = new SOMap(2, 2, inputVector.Count, 100, 0.5);
som.Train(input);
}
public void Constructor_DimensionsPassed_MatrixInitializerProperly()
{
var som = new SOMap(6, 4, 2, 100, 0.5);
Assert.Equal(6, som._width);
Assert.Equal(4, som._height);
Assert.Equal(2, som._matrix.Rank);
Assert.Equal(24, som._matrix.Length);
}
public void CalculateBMU_InputPassed_Success()
{
var som = new SOMap(2, 2, 2, 100, 0.5);
var inputMock = new Mock <IVector>();
inputMock.SetupSequence(x => x.EuclidianDistance(It.IsAny <IVector>()))
.Returns(4)
.Returns(3)
.Returns(2)
.Returns(1);
var bmu = som.CalculateBMU(inputMock.Object);
Assert.Equal(1, bmu.X);
Assert.Equal(1, bmu.Y);
}
public void GetRadiusIndexes_CorrectBMURadiusPassed_Success()
{
var som = new SOMap(5, 5, 2, 100, 0.5);
var bmuMock = new Mock <INeuron>();
bmuMock.Setup(x => x.X).Returns(2);
bmuMock.Setup(x => x.Y).Returns(2);
(int xStart, int xEnd, int yStart, int yEnd) = som.GetRadiusIndexes(bmuMock.Object, 2);
Assert.Equal(0, xStart);
Assert.Equal(5, xEnd);
Assert.Equal(0, yStart);
Assert.Equal(5, yEnd);
}
public void GetNeuron_HeightOutOfRange_ExceptionThrown()
{
var som = new SOMap(5, 5, 2, 100, 0.5);
Assert.Throws <ArgumentException>(() => som.GetNeuron(5, 6));
}
