Esempio n. 1
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        public void RBFTrainingIsReproducible()
        {
            var data      = NNTestUtils.GetData("2004-01-01", "2004-05-01");
            var fitnesses = Lists.Repeat(5, i => {
                var rbfNet = RBFNet.Train(data.Input, data.Output, 0.1, 1);
                rbfNet.IsDegenerate.ShouldBeFalse();
                return(Functions.ComputeFitness(new PredictorWithInputs(rbfNet, data.Input), data));
            });

            fitnesses.Distinct().Count().ShouldEqual(1);
        }
Esempio n. 2
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        public void RBFPredictsWell()
        {
            var data = NNTestUtils.GetData("2004-01-01", "2004-05-01");

            Func <double, double> fitnessForTolerance = tolerance => {
                var rbfNet = RBFNet.Train(data.Input, data.Output, tolerance, 1);
                rbfNet.IsDegenerate.ShouldBeFalse();
                var fitness = Functions.ComputeFitness(new PredictorWithInputs(rbfNet, data.Input), data);
                Trace.WriteLine("RBF fitness: " + fitness);
                return(fitness);
            };

            fitnessForTolerance(0.2).ShouldBeGreaterThan(0.9);
            fitnessForTolerance(0.01).ShouldEqual(1.0);
        }