public void ReturnTrueIfFirstVectorIsKnown()
{
var bcmModel = new BcmModel();
var threshold = 2;
bcmModel.Teach(_firstVector);
bcmModel.Teach(_secondVector);
bcmModel.Test(_firstVector, threshold).Should().BeTrue();
}
public void SecondTrainedVectorWithOtherLengthShouldThrowException()
{
var bcmModel = new BcmModel();
var vectorWithOtherLength = Vector <float> .Build.Dense(8);
bcmModel.Teach(_firstVector);
Action trainingWithDifferentLengths = () => bcmModel.Teach(vectorWithOtherLength);
trainingWithDifferentLengths.ShouldThrow <ArgumentException>();
}
public void ReturnFalseIfVectorIsNotKnown()
{
var bcmModel = new BcmModel();
var threshold = 2;
var unknownVector = Vector <float> .Build.DenseOfArray(new[] { 1f, 1, 1, 1, 0, 0 });
bcmModel.Teach(_firstVector);
bcmModel.Teach(_secondVector);
bcmModel.Test(unknownVector, threshold).Should().BeFalse();
}
public void TrainShouldThrowExceptionIfMatrixAlreadyKnowsTwoVectors()
{
var bcmModel = new BcmModel();
var thirdVector = Vector <float> .Build.Dense(6);
bcmModel.Teach(_firstVector);
bcmModel.Teach(_secondVector);
Action trainingWithKnownVector = () => bcmModel.Teach(thirdVector);
trainingWithKnownVector.ShouldThrow <InvalidOperationException>();
}
public void TestMethodShouldThrowExceptionIfVectorHaveDifferentLength()
{
var bcmModel = new BcmModel();
var threshold = 2;
var vectorWithOtherLength = Vector <float> .Build.Dense(8);
bcmModel.Teach(_firstVector);
bcmModel.Teach(_secondVector);
Action testingWithDifferentLengths = () => bcmModel.Test(vectorWithOtherLength, threshold);
testingWithDifferentLengths.ShouldThrow <ArgumentException>();
}
public void FirstTrainedVectorShouldGiveMatrixSize()
{
var bcmModel = new BcmModel();
bcmModel.Teach(_firstVector);
bcmModel.CorrelationMatrix.ColumnCount.ShouldBeEquivalentTo(6);
}
public void TrainShouldThrowExceptionIfVectorValuesAreNotEqualZeroOrOne()
{
var bcmModel = new BcmModel();
Vector <float> vectorWithBadValues = Vector <float> .Build.DenseOfArray(new[] { 1f, 1, 4, 0, 0, 0 });
Action trainingWithBadValues = () => bcmModel.Teach(vectorWithBadValues);
trainingWithBadValues.ShouldThrow <ArgumentException>();
}
public void SecondTrainedVectorShouldGiveRightMatrix()
{
var bcmModel = new BcmModel();
var correctMatrix = Matrix <float> .Build.DenseOfArray(new[, ]
{
{ 1f, 1, 0, 0, 0, 0 },
{ 1, 1, 0, 0, 0, 1 },
{ 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0 },
{ 0, 0, 0, 0, 0, 0 },
{ 0, 1, 0, 0, 0, 1 }
});
bcmModel.Teach(_firstVector);
bcmModel.Teach(_secondVector);
bcmModel.CorrelationMatrix.ShouldBeEquivalentTo(correctMatrix);
}