Generate() public méthode

Generate model based on a set of examples.
public Generate ( Matrix X, Vector y ) : IModel
X Matrix The Matrix to process.
y numl.Math.LinearAlgebra.Vector The Vector to process.
Résultat IModel
PerceptronGenerator Class Documentation
Exemple #1
0
        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);
        }
Exemple #2
0
        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);
        }