Changeset 7127 for branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva

Timestamp:

12/05/11 17:03:49 (13 years ago)

Author:

sforsten

Message:

#1669:
-Spatial co-evolution benchmark has been added
-Benchmarks of Trent McConaghy have been added
-2 Classification benchmarks have been added (Mammography and Iris dataset)
-Training and test set include now all samples from the dataset
-Load button and combo box are now disabled when the algorithm is running

Location:

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva

Files:

• KotanchekFunction.cs (modified) (1 diff)
• RationalPolynomialThreeDimensional.cs (modified) (1 diff)
• RationalPolynomialTwoDimensional.cs (modified) (1 diff)
• RippleFunction.cs (modified) (1 diff)
• SalutowiczFunctionOneDimensional.cs (modified) (1 diff)
• SalutowiczFunctionTwoDimensional.cs (modified) (1 diff)
• SineCosineFunction.cs (modified) (1 diff)
• UnwrappedBallFunctionFiveDimensional.cs (modified) (1 diff)

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/KotanchekFunction.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X1", "X2" };
       trainingPartition = new IntRange(0, 100);
-      testPartition = new IntRange(101, 2125);
+      testPartition = new IntRange(100, 2125);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/RationalPolynomialThreeDimensional.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X1", "X2", "X3" };
       trainingPartition = new IntRange(0, 300);
-      testPartition = new IntRange(301, 3000);
+      testPartition = new IntRange(300, 3000);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/RationalPolynomialTwoDimensional.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X1", "X2" };
       trainingPartition = new IntRange(0, 50);
-      testPartition = new IntRange(51, 1207);
+      testPartition = new IntRange(50, 1207);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/RippleFunction.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X1", "X2" };
       trainingPartition = new IntRange(0, 300);
-      testPartition = new IntRange(301, 1300);
+      testPartition = new IntRange(300, 1300);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/SalutowiczFunctionOneDimensional.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X" };
       trainingPartition = new IntRange(0, 100);
-      testPartition = new IntRange(101, 321);
+      testPartition = new IntRange(100, 321);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/SalutowiczFunctionTwoDimensional.cs

@@ -39 +39 @@
       inputVariables = new List<string>() { "X1", "X2" };
       trainingPartition = new IntRange(0, 601);
-      testPartition = new IntRange(602, 3155);
+      testPartition = new IntRange(601, 3155);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/SineCosineFunction.cs

@@ -38 +38 @@
       inputVariables = new List<string>() { "X1", "X2" };
       trainingPartition = new IntRange(0, 30);
-      testPartition = new IntRange(31, 991);
+      testPartition = new IntRange(30, 991);
     }
 

branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/Vladislavleva/UnwrappedBallFunctionFiveDimensional.cs

@@ -39 +39 @@
       inputVariables = new List<string>() { "X1", "X2", "X3", "X4", "X5" };
       trainingPartition = new IntRange(0, 1024);
-      testPartition = new IntRange(1025, 6024);
+      testPartition = new IntRange(1024, 6024);
     }