public void Test_Perceptron_Simple_2()
{
PerceptronGenerator generator = new PerceptronGenerator();
Matrix x = new[,]{
{ 1, 4 }, // yes
{ -1, 3 }, // no
{ -1, 2 }, // no
{ -1, 1 }, // no
{ -2, 1 }, // no
{ -2, 2 }, // no
{ 2, 3 }, // yes
{ 3, 2 }, // yes
{ 3, 3 }, // yes
{ 4, 2 }, // yes
{ 4, 1 }, // yes
};
var test = x.Copy();
Vector y = new[] { 1, -1, -1, -1, -1, -1, 1, 1, 1, 1, 1 };
var model = generator.Generate(x, y);
Vector z = Vector.Zeros(11);
for (int i = 0; i < test.Rows; i++)
z[i] = model.Predict((Vector)test.Row(i)) <= 0 ? -1 : 1;
Assert.AreEqual(y, z);
}
public PerceptronGenerator CreatePerceptronGeneratorenerator()
{
var generator = new PerceptronGenerator()
{
Descriptor = Descriptor.Create<Passenger>()
};
return generator;
}
public void Test_Perceptron_Simple()
{
PerceptronGenerator generator = new PerceptronGenerator();
Matrix x = new[,]
{
{ 1, 0, 0 },
{ 1, 0, 1 },
{ 1, 1, 0 },
{ 1, 1, 1 }
};
var test = x.Copy();
Vector y = new [] { 1, 1, -1, -1 };
var model = generator.Generate(x, y);
Vector z = Vector.Zeros(4);
for (int i = 0; i < test.Rows; i++)
z[i] = model.Predict((Vector)test.Row(i)) <= 0 ? -1 : 1;
Assert.AreEqual(y, z);
}