Changeset 17649 for branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus10.cs

Timestamp:

07/07/20 10:47:27 (4 years ago)

Author:

chaider

Message:

#3075 Added noise instances for feynman bonus instances

File:

• branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus10.cs (modified) (5 diffs)

branches/3075_aifeynman_instances/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus10.cs

@@ -2 +2 @@
 using System.Collections.Generic;
 using System.Linq;
+using HeuristicLab.Common;
 using HeuristicLab.Random;
 
@@ -9 +10 @@
     private readonly int trainingSamples;
 
-    public FeynmanBonus10() : this((int) DateTime.Now.Ticks, 10000, 10000) { }
+    public FeynmanBonus10() : this((int) DateTime.Now.Ticks, 10000, 10000, null) { }
 
     public FeynmanBonus10(int seed) {
@@ -15 +16 @@
       trainingSamples = 10000;
       testSamples     = 10000;
+      noiseRatio      = null;
     }
 
-    public FeynmanBonus10(int seed, int trainingSamples, int testSamples) {
+    public FeynmanBonus10(int seed, int trainingSamples, int testSamples, double? noiseRatio) {
       Seed                 = seed;
       this.trainingSamples = trainingSamples;
       this.testSamples     = testSamples;
+      this.noiseRatio      = noiseRatio;
     }
 
@@ -26 +29 @@
       get {
         return string.Format(
-          "Feynman Relativistic aberation arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples",
-          trainingSamples);
+          "Feynman Relativistic aberation arccos((cos(theta2)-v/c)/(1-v/c*cos(theta2))) | {0} samples | noise ({1})",
+          trainingSamples, noiseRatio == null ? "no noise" : noiseRatio.ToString());
       }
     }
 
-    protected override string TargetVariable { get { return "theta1"; } }
-    protected override string[] VariableNames { get { return new[] {"c", "v", "theta2", "theta1"}; } }
+    protected override string TargetVariable { get { return noiseRatio == null ? "theta1" : "theta1_noise"; } }
+
+    protected override string[] VariableNames {
+      get { return new[] {"c", "v", "theta2", noiseRatio == null ? "theta1" : "theta1_noise"}; }
+    }
+
     protected override string[] AllowedInputVariables { get { return new[] {"c", "v", "theta2"}; } }
 
@@ -62 +69 @@
       }
 
+      if (noiseRatio != null) {
+        var theta1_noise = new List<double>();
+        var sigma_noise  = (double) noiseRatio * theta1.StandardDeviationPop();
+        theta1_noise.AddRange(theta1.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise)));
+        data.Remove(theta1);
+        data.Add(theta1_noise);
+      }
+
       return data;
     }