Changeset 9562 for branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Algorithms.DataAnalysis.Experimental

Timestamp:

05/31/13 17:20:17 (11 years ago)

Author:

gkronber

Message:

#1967 worked on Gaussian process evolution.

Location:

branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Algorithms.DataAnalysis.Experimental

Files:

• EigenGaussianProcessModel.cs (added)
• EigenGaussianProcessRegressionModelCreator.cs (added)
• HeuristicLab.Algorithms.DataAnalysis.Experimental.csproj (modified) (3 diffs)
• TunedGaussianProcessModel.cs (modified) (3 diffs)

branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Algorithms.DataAnalysis.Experimental/HeuristicLab.Algorithms.DataAnalysis.Experimental.csproj

@@ -30 +30 @@
     <ErrorReport>prompt</ErrorReport>
     <WarningLevel>4</WarningLevel>
+    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
   </PropertyGroup>
   <PropertyGroup>
@@ -128 +129 @@
   </ItemGroup>
   <ItemGroup>
+    <Compile Include="EigenGaussianProcessModel.cs">
+      <SubType>Code</SubType>
+    </Compile>
+    <Compile Include="EigenGaussianProcessRegressionModelCreator.cs">
+      <SubType>Code</SubType>
+    </Compile>
     <Compile Include="Plugin.cs" />
     <Compile Include="Properties\AssemblyInfo.cs" />
@@ -135 +142 @@
   </ItemGroup>
   <ItemGroup>
+    <ProjectReference Include="..\HeuristicLab.Eigen\HeuristicLab.Eigen.vcxproj">
+      <Project>{2e530a92-9788-4cb8-a754-a91092e770a3}</Project>
+      <Name>HeuristicLab.Eigen</Name>
+    </ProjectReference>
     <ProjectReference Include="..\ILNumerics.2.14.4735.573\ILNumerics.csproj">
       <Project>{93b4a10e-8979-4028-8ccf-49d88d6fac0c}</Project>

branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Algorithms.DataAnalysis.Experimental/TunedGaussianProcessModel.cs

@@ -166 +166 @@
           .ToArray();
 
-        var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, null);
+        var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, Enumerable.Range(0, x.GetLength(1)));
         ILArray<double> myL = ILMath.zeros<double>(n, n);
 
@@ -301 +301 @@
       .Select(r => mean.Mean(newX, r))
       .ToArray();
-      var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, null);
+      var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, Enumerable.Range(0, x.GetLength(1)));
       for (int i = 0; i < newN; i++) {
         for (int j = 0; j < n; j++) {
@@ -320 +320 @@
       var kss = new double[newN];
       ILArray<double> sWKs = ILMath.zeros(n, newN);
-      var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, null);
+      var cov = covarianceFunction.GetParameterizedCovarianceFunction(covarianceParameter, Enumerable.Range(0, x.GetLength(1)));
 
       // for stddev