Changeset 6760 for branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective

Timestamp:

09/14/11 13:59:25 (13 years ago)

Author:

epitzer

Message:

#1530 integrate changes from trunk

Location:

branches/PersistenceSpeedUp

Files:

• . (modified) (2 props)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionConstantOptimizationEvaluator.cs (copied) (copied from trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionConstantOptimizationEvaluator.cs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveProblem.cs (modified) (1 diff)

branches/PersistenceSpeedUp

@@ -12 +12 @@
 *.psess
 *.vsp
+*.docstates

@@ -12 +12 @@
 *.psess
 *.vsp
+*.docstates

branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs

@@ -56 +56 @@
     public static double Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows) {
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
-      IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
+      IEnumerable<double> originalValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows);
       IEnumerable<double> boundedEstimationValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
       OnlineCalculatorError errorState;

branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs

@@ -79 +79 @@
 
       double[] trainingQuality = QualityParameter.ActualValue.Select(x => x.Value).ToArray();
+      var problemData = ProblemDataParameter.ActualValue;
+      var evaluator = EvaluatorParameter.ActualValue;
       // evaluate on validation partition
-      IExecutionContext childContext = (IExecutionContext)ExecutionContext.CreateChildOperation(EvaluatorParameter.ActualValue);
-      double[] validationQuality = (from tree in SymbolicExpressionTree
-                                    select EvaluatorParameter.ActualValue.Evaluate(childContext, tree, ProblemDataParameter.ActualValue, rows))
-                                   .ToArray();
+      IExecutionContext childContext = (IExecutionContext)ExecutionContext.CreateChildOperation(evaluator);
+      double[] validationQuality = SymbolicExpressionTree
+        .AsParallel()
+        .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
+        .ToArray();
       double r = 0.0;
       try {

branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs

@@ -56 +56 @@
     public static double Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows) {
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
-      IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
+      IEnumerable<double> originalValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows);
       OnlineCalculatorError errorState;
       double r2 = OnlinePearsonsRSquaredCalculator.Calculate(estimatedValues, originalValues, out errorState);

branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveProblem.cs

@@ -74 +74 @@
 
     private void UpdateEstimationLimits() {
-      if (ProblemData.TrainingPartition.Start < ProblemData.TrainingPartition.End) {
-        var targetValues = ProblemData.Dataset.GetVariableValues(ProblemData.TargetVariable, ProblemData.TrainingPartition.Start, ProblemData.TrainingPartition.End);
+      if (ProblemData.TrainingIndizes.Any()) {
+        var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToList();
         var mean = targetValues.Average();
         var range = targetValues.Max() - targetValues.Min();
         EstimationLimits.Upper = mean + PunishmentFactor * range;
         EstimationLimits.Lower = mean - PunishmentFactor * range;
+      } else {
+        EstimationLimits.Upper = double.MaxValue;
+        EstimationLimits.Lower = double.MinValue;
       }
     }

@@ -12 +12 @@
 *.psess
 *.vsp
+*.docstates