TimeInfer() public method

Do Time-based inference for the given input
public TimeInfer ( MathNet.Numerics.LinearAlgebra.Double.SparseMatrix input ) : Vector
input MathNet.Numerics.LinearAlgebra.Double.SparseMatrix
return Vector
SpatialNode2DGaussian Class Documentation
コード例 #1
0
        public void ErrorWhenLearningAfterInferenceMode()
        {
            var node = new SpatialNode2DGaussian();
            var mat = new SparseMatrix(4, 4, 4.0);
            var learnAfterInferFails = false;
            var learnAfterTBInferFails = false;
            node.Learn(mat);

            node.Infer(mat);
            try
            {
                node.Learn(mat);
            }
            catch (HtmRuleException e)
            {
                learnAfterInferFails = true;
                Debug.WriteLine(e.Message);
            }

            node.TimeInfer(mat);
            try
            {
                node.Learn(mat);
            }
            catch (HtmRuleException e)
            {
                learnAfterTBInferFails = true;
                Debug.WriteLine(e.Message);
            }

            Assert.IsTrue(learnAfterInferFails);
            Assert.IsTrue(learnAfterTBInferFails);
        }
コード例 #2
0
        public void InferEmptyVectorIfNoCoincidencesLearned()
        {
            var node = new SpatialNode2DGaussian(1.0);

            var output = node.Infer(new SparseMatrix(5, 5, 2.0));

            Assert.AreEqual(new SparseVector(1), output);

            output = node.TimeInfer(new SparseMatrix(5, 5, 2.0));

            Assert.AreEqual(new SparseVector(1), output);
        }