Changeset 15420 for branches/MCTS-SymbReg-2796/Tests/HeuristicLab.Algorithms.DataAnalysis-3.4/MctsSymbolicRegressionTest.cs

Timestamp:

10/17/17 09:56:30 (7 years ago)

Author:

gkronber

Message:

#2796: debugging

File:

• branches/MCTS-SymbReg-2796/Tests/HeuristicLab.Algorithms.DataAnalysis-3.4/MctsSymbolicRegressionTest.cs (modified) (5 diffs)

branches/MCTS-SymbReg-2796/Tests/HeuristicLab.Algorithms.DataAnalysis-3.4/MctsSymbolicRegressionTest.cs

@@ -1 +1 @@
 using System;
+using System.Collections.Generic;
 using System.Linq;
 using System.Threading;
@@ -758 +759 @@
     [TestMethod]
     [TestCategory("Algorithms.DataAnalysis")]
-    [TestProperty("Time", "short")]
-    public void MctsSymbReg_NoConstants_Poly10() {
+    [TestProperty("Time", "long")]
+    public void MctsSymbReg_NoConstants_Poly10_250rows() {
       var provider = new HeuristicLab.Problems.Instances.DataAnalysis.VariousInstanceProvider(seed: 1234);
       var regProblem = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name.Contains("Poly-10")));
+      regProblem.TrainingPartition.Start = 0;
+      regProblem.TrainingPartition.End = regProblem.Dataset.Rows;
+      regProblem.TestPartition.Start = 0;
+      regProblem.TestPartition.End = 2;
       TestMctsWithoutConstants(regProblem, nVarRefs: 15, iterations: 200000, allowExp: false, allowLog: false, allowInv: false);
+    }
+    [TestMethod]
+    [TestCategory("Algorithms.DataAnalysis")]
+    [TestProperty("Time", "long")]
+    public void MctsSymbReg_NoConstants_Poly10_10000rows() {
+      // as poly-10 but more rows
+      var rand = new FastRandom(1234);
+      var x1 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x2 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x3 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x4 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x5 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x6 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x7 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x8 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x9 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var x10 = Enumerable.Range(0, 10000).Select(_ => rand.NextDouble()).ToList();
+      var ys = new List<double>();
+      for (int i = 0; i < x1.Count; i++) {
+        ys.Add(x1[i] * x2[i] + x3[i] * x4[i] + x5[i] * x6[i] + x1[i] * x7[i] * x9[i] + x3[i] * x6[i] * x10[i]);
+      }
+
+      var ds = new Dataset(new string[] { "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "y" }, 
+        new[] { x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, ys });
+
+
+      var problemData = new RegressionProblemData(ds, new string[] { "a", "b", "c", "d", "e", "f", "g", "h", "i", "j"}, "y");
+
+      problemData.TrainingPartition.Start = 0;
+      problemData.TrainingPartition.End = problemData.Dataset.Rows;
+      problemData.TestPartition.Start = 0;
+      problemData.TestPartition.End = 2; // must not be empty
+
+
+      TestMctsWithoutConstants(problemData, nVarRefs: 15, iterations: 100000, allowExp: false, allowLog: false, allowInv: false);
     }
 
@@ -797 +837 @@
       var @as = Enumerable.Range(0, 100).Select(_ => rand.NextDouble()).ToList();
       var bs = Enumerable.Range(0, 100).Select(_ => rand.NextDouble()).ToList();
-      var cs = Enumerable.Range(0, 100).Select(_ => rand.NextDouble() *1.0e-3).ToList();
-      var ds = Enumerable.Range(0, 100).Select(_ => rand.NextDouble() ).ToList();
-      var es = Enumerable.Range(0, 100).Select(_ => rand.NextDouble() ).ToList();
+      var cs = Enumerable.Range(0, 100).Select(_ => rand.NextDouble() * 1.0e-3).ToList();
+      var ds = Enumerable.Range(0, 100).Select(_ => rand.NextDouble()).ToList();
+      var es = Enumerable.Range(0, 100).Select(_ => rand.NextDouble()).ToList();
       var ys = new double[@as.Count];
-      for(int i=0;i<ys.Length;i++)
-        ys[i] = @as[i] + bs[i] + @as[i]*bs[i]*cs[i];
+      for (int i = 0; i < ys.Length; i++)
+        ys[i] = @as[i] + bs[i] + @as[i] * bs[i] * cs[i];
 
       var dataset = new Dataset(new string[] { "a", "b", "c", "d", "e", "y" }, new[] { @as, bs, cs, ds, es, ys.ToList() });
 
-      var problemData = new RegressionProblemData(dataset, new string[] { "a", "b","c","d","e" }, "y");
+      var problemData = new RegressionProblemData(dataset, new string[] { "a", "b", "c", "d", "e" }, "y");
 
 
@@ -854 +894 @@
       var provider = new HeuristicLab.Problems.Instances.DataAnalysis.NguyenInstanceProvider(seed: 1234);
       var regProblem = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name.Contains("F7 ")));
-      TestMcts(regProblem, maxVariableReferences:5, allowExp: false, allowLog: true, allowInv: false);
+      TestMcts(regProblem, maxVariableReferences: 5, allowExp: false, allowLog: true, allowInv: false);
     }
     [TestMethod]
@@ -895 +935 @@
       var provider = new HeuristicLab.Problems.Instances.DataAnalysis.NguyenInstanceProvider(seed: 1234);
       var regProblem = provider.LoadData(provider.GetDataDescriptors().Single(x => x.Name.Contains("F11 ")));
-      TestMcts(regProblem, maxVariableReferences: 5, allowExp: true, allowLog: true, allowInv: false); 
+      TestMcts(regProblem, maxVariableReferences: 5, allowExp: true, allowLog: true, allowInv: false);
     }
     [TestMethod]