Changeset 13981 for stable/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceMaternIso.cs

Timestamp:

07/02/16 14:38:40 (8 years ago)

Author:

gkronber

Message:

#2591: merged r13438 (#2541), r13721, r13724, r13784, r13891 from trunk to stable

Location:

stable

Files:

• . (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis (modified) (1 prop)
• HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceMaternIso.cs (modified) (3 diffs)

stable/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/CovarianceFunctions/CovarianceMaternIso.cs

@@ -111 +111 @@
     }
 
-    public ParameterizedCovarianceFunction GetParameterizedCovarianceFunction(double[] p, IEnumerable<int> columnIndices) {
+    public ParameterizedCovarianceFunction GetParameterizedCovarianceFunction(double[] p, int[] columnIndices) {
       double inverseLength, scale;
       int d = DParameter.Value.Value;
@@ -122 +122 @@
         double dist = i == j
                        ? 0.0
-                       : Math.Sqrt(Util.SqrDist(x, i, j, Math.Sqrt(d) * inverseLength, columnIndices));
+                       : Math.Sqrt(Util.SqrDist(x, i, j, columnIndices, Math.Sqrt(d) * inverseLength));
         return scale * m(d, dist);
       };
       cov.CrossCovariance = (x, xt, i, j) => {
-        double dist = Math.Sqrt(Util.SqrDist(x, i, xt, j, Math.Sqrt(d) * inverseLength, columnIndices));
+        double dist = Math.Sqrt(Util.SqrDist(x, i, xt, j, columnIndices, Math.Sqrt(d) * inverseLength));
         return scale * m(d, dist);
       };
@@ -155 +155 @@
     }
 
-
-    private static IEnumerable<double> GetGradient(double[,] x, int i, int j, int d, double scale, double inverseLength, IEnumerable<int> columnIndices,
+    private static IList<double> GetGradient(double[,] x, int i, int j, int d, double scale, double inverseLength, int[] columnIndices,
       bool fixedInverseLength, bool fixedScale) {
       double dist = i == j
                    ? 0.0
-                   : Math.Sqrt(Util.SqrDist(x, i, j, Math.Sqrt(d) * inverseLength, columnIndices));
+                   : Math.Sqrt(Util.SqrDist(x, i, j, columnIndices, Math.Sqrt(d) * inverseLength));
 
-      if (!fixedInverseLength) yield return scale * dm(d, dist);
-      if (!fixedScale) yield return 2 * scale * m(d, dist);
+      var g = new List<double>(2);
+      if (!fixedInverseLength) g.Add(scale * dm(d, dist));
+      if (!fixedScale) g.Add(2 * scale * m(d, dist));
+      return g;
     }
   }