Changeset 5770 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators

Timestamp:

03/21/11 00:19:08 (14 years ago)

Author:

mkommend

Message:

#1418: Changed data type of estimation limits and corrected some bugs.

File:

• branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisEvaluator.cs (modified) (4 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisEvaluator.cs

@@ -41 +41 @@
     private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
     private const string ProblemDataParameterName = "ProblemData";
-    private const string UpperEstimationLimitParameterName = "UpperEstimationLimit";
-    private const string LowerEstimationLimitParameterName = "LowerEstimationLimit";
+    private const string EstimationLimitsParameterName = "EstimationLimits";
     private const string EvaluationPartitionParameterName = "EvaluationPartition";
     private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
@@ -65 +64 @@
       get { return (IValueLookupParameter<IntRange>)Parameters[EvaluationPartitionParameterName]; }
     }
-
-    public IValueLookupParameter<DoubleValue> UpperEstimationLimitParameter {
-      get { return (IValueLookupParameter<DoubleValue>)Parameters[UpperEstimationLimitParameterName]; }
+    public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
+      get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
     }
-    public IValueLookupParameter<DoubleValue> LowerEstimationLimitParameter {
-      get { return (IValueLookupParameter<DoubleValue>)Parameters[LowerEstimationLimitParameterName]; }
-    }
-
     public IValueLookupParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
       get { return (IValueLookupParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
@@ -91 +85 @@
       Parameters.Add(new ValueLookupParameter<T>(ProblemDataParameterName, "The problem data on which the symbolic data analysis solution should be evaluated."));
       Parameters.Add(new ValueLookupParameter<IntRange>(EvaluationPartitionParameterName, "The start index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
-      Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit that should be used as cut off value for the output values of symbolic data analysis trees."));
-      Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit that should be used as cut off value for the output values of symbolic data analysis trees."));
+      Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The upper and lower limit that should be used as cut off value for the output values of symbolic data analysis trees."));
       Parameters.Add(new ValueLookupParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation between the start and end index."));
     }
@@ -104 +97 @@
       int count = (int)((samplesEnd - samplesStart) * RelativeNumberOfEvaluatedSamplesParameter.ActualValue.Value);
       if (count == 0) count = 1;
-      return RandomEnumerable.SampleRandomNumbers(seed, samplesEnd, samplesStart, count)
+      return RandomEnumerable.SampleRandomNumbers(seed, samplesStart, samplesEnd, count)
         .Where(i => i < ProblemDataParameter.ActualValue.TestPartition.Start || ProblemDataParameter.ActualValue.TestPartition.End <= i);
     }