Changeset 13100 for trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis
- Timestamp:
- 11/02/15 22:32:59 (9 years ago)
- Location:
- trunk/sources/HeuristicLab.Problems.DataAnalysis
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
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trunk/sources/HeuristicLab.Problems.DataAnalysis
- Property svn:mergeinfo changed
/branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis (added) merged: 9073-9074,9119,10553,10556,13081,13083,13086,13089,13091,13097-13099
- Property svn:mergeinfo changed
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trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/ConstantTimeSeriesPrognosisModel.cs
r12509 r13100 20 20 #endregion 21 21 22 using System; 22 23 using System.Collections.Generic; 23 24 using System.Linq; … … 29 30 [StorableClass] 30 31 [Item("Constant TimeSeries Model", "A time series model that returns for all prediciton the same constant value.")] 32 [Obsolete] 31 33 public class ConstantTimeSeriesPrognosisModel : ConstantRegressionModel, ITimeSeriesPrognosisModel { 32 34 [StorableConstructor] -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisResults.cs
r12641 r13100 373 373 //mean model 374 374 double trainingMean = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices).Average(); 375 var meanModel = new Constant TimeSeriesPrognosisModel(trainingMean);375 var meanModel = new ConstantModel(trainingMean); 376 376 377 377 //AR1 model … … 448 448 //mean model 449 449 double trainingMean = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices).Average(); 450 var meanModel = new Constant TimeSeriesPrognosisModel(trainingMean);450 var meanModel = new ConstantModel(trainingMean); 451 451 452 452 //AR1 model -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionBase.cs
r12012 r13100 150 150 OnlineCalculatorError errorState; 151 151 double trainingMean = ProblemData.TrainingIndices.Any() ? ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).Average() : double.NaN; 152 var meanModel = new Constant TimeSeriesPrognosisModel(trainingMean);152 var meanModel = new ConstantModel(trainingMean); 153 153 154 154 double alpha, beta;
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