Changeset 8139 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification

Timestamp:

06/27/12 17:34:17 (12 years ago)

Author:

mkommend

Message:

#1722: Renamed indizes to indices in the whole trunk solution.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4

Files:

• MultiObjective/SymbolicClassificationMultiObjectiveProblem.cs (modified) (1 diff)
• SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs (modified) (1 diff)
• SymbolicDiscriminantFunctionClassificationModel.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveProblem.cs

@@ -81 +81 @@
 
     private void UpdateEstimationLimits() {
-      if (ProblemData.TrainingIndizes.Any()) {
-        var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToList();
+      if (ProblemData.TrainingIndices.Any()) {
+        var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).ToList();
         var mean = targetValues.Average();
         var range = targetValues.Max() - targetValues.Min();

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs

@@ -97 +97 @@
 
     private void UpdateEstimationLimits() {
-      if (ProblemData.TrainingIndizes.Any()) {
-        var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToList();
+      if (ProblemData.TrainingIndices.Any()) {
+        var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).ToList();
         var mean = targetValues.Average();
         var range = targetValues.Max() - targetValues.Min();

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicDiscriminantFunctionClassificationModel.cs

@@ -125 +125 @@
       var dataset = problemData.Dataset;
       var targetVariable = problemData.TargetVariable;
-      var rows = problemData.TrainingIndizes;
+      var rows = problemData.TrainingIndices;
       var estimatedValues = model.Interpreter.GetSymbolicExpressionTreeValues(model.SymbolicExpressionTree, dataset, rows);
       var targetValues = dataset.GetDoubleValues(targetVariable, rows);