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Changeset 16692 for branches/2521_ProblemRefactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveTrainingBestSolutionAnalyzer.cs

Timestamp:

03/18/19 17:24:30 (6 years ago)

Author:

abeham

Message:

#2521: merged trunk changes up to r15681 into branch (removal of trunk/sources)

Location:

branches/2521_ProblemRefactoring

Files:

: 3 edited

. (modified) (2 props)
HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis (modified) (1 prop)
HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveTrainingBestSolutionAnalyzer.cs (modified) (2 diffs)

Legend:

: Unmodified
: Added
: Removed

branches/2521_ProblemRefactoring

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old	new
24	24	protoc.exe
25	25	obj
	26	.vs

Property svn:mergeinfo changed

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branches/2521_ProblemRefactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis

Property svn:mergeinfo changed

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/branches/symbreg-factors-2650/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis (added)	merged: 14449,14497,14499,14591-14592
/stable/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis	merged: 15587
/trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis (added)	merged: 13397,13941,14171,14185,14195,14423,14826,15287,15371,15581,15583,15589

branches/2521_ProblemRefactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveTrainingBestSolutionAnalyzer.cs

-                      r12012
+                      r16692
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
     protected override ISymbolicTimeSeriesPrognosisSolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) {
       var model = new SymbolicTimeSeriesPrognosisModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue as ISymbolicTimeSeriesPrognosisExpressionTreeInterpreter, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
+      var model = new SymbolicTimeSeriesPrognosisModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue as ISymbolicTimeSeriesPrognosisExpressionTreeInterpreter, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
       if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
       return new SymbolicTimeSeriesPrognosisSolution(model, (ITimeSeriesPrognosisProblemData)ProblemDataParameter.ActualValue.Clone());

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