- Timestamp:
- 04/22/13 07:10:13 (11 years ago)
- File:
-
- 1 edited
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branches/HeuristicLab.Problems.GaussianProcessTuning/GaussianProcessDemo/Form1.cs
r9338 r9387 28 28 29 29 var sum = new CovarianceSum(); 30 var t = new CovarianceSquaredExponentialIso(); 31 t.InverseLengthParameter.Value = new DoubleValue(1.0 / Math.Exp(-2)); 30 var t = new CovarianceNeuralNetwork(); 32 31 sum.Terms.Add(t); 33 32 sum.Terms.Add(new CovarianceNoise()); … … 65 64 private void UpdateChart() { 66 65 var hyp = GetSliderValues(); 67 var cov = covFunction.GetParameterizedCovarianceFunction(hyp, null);66 var cov = covFunction.GetParameterizedCovarianceFunction(hyp, Enumerable.Range(0, data.Count)); 68 67 var y = Util.SampleGaussianProcess(random, cov, data, alpha); 69 68
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