Changeset 11203 for branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionErrorCharacteristicsCurveView.cs
- Timestamp:
- 07/18/14 12:35:00 (10 years ago)
- Location:
- branches/HiveStatistics/sources
- Files:
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- 3 edited
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branches/HiveStatistics/sources
- Property svn:ignore
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old new 8 8 FxCopResults.txt 9 9 Google.ProtocolBuffers-0.9.1.dll 10 Google.ProtocolBuffers-2.4.1.473.dll11 10 HeuristicLab 3.3.5.1.ReSharper.user 12 11 HeuristicLab 3.3.6.0.ReSharper.user 13 12 HeuristicLab.4.5.resharper.user 14 13 HeuristicLab.ExtLibs.6.0.ReSharper.user 15 HeuristicLab.Scripting.Development16 14 HeuristicLab.resharper.user 17 15 ProtoGen.exe … … 19 17 _ReSharper.HeuristicLab 20 18 _ReSharper.HeuristicLab 3.3 21 _ReSharper.HeuristicLab 3.3 Tests22 19 _ReSharper.HeuristicLab.ExtLibs 23 20 bin 24 21 protoc.exe 22 _ReSharper.HeuristicLab 3.3 Tests 23 Google.ProtocolBuffers-2.4.1.473.dll
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- Property svn:mergeinfo changed
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branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Views
- Property svn:mergeinfo changed
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branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionErrorCharacteristicsCurveView.cs
r11202 r11203 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 4Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 22 22 using System.Collections.Generic; 23 23 using System.Linq; 24 using System.Windows.Forms; 24 25 using HeuristicLab.MainForm; 25 26 using HeuristicLab.MainForm.WindowsForms; 26 27 namespace HeuristicLab.Problems.DataAnalysis.Views { 27 28 [View("Error Characteristics Curve")] … … 50 51 if (Content == null) return; 51 52 53 //AR1 model 54 double alpha, beta; 55 OnlineCalculatorError errorState; 52 56 IEnumerable<double> trainingStartValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices.Select(r => r - 1).Where(r => r > 0)).ToList(); 53 if (trainingStartValues.Any()) { 54 //AR1 model 55 double alpha, beta; 56 OnlineCalculatorError errorState; 57 OnlineLinearScalingParameterCalculator.Calculate(ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices.Where(x => x > 0)), trainingStartValues, out alpha, out beta, out errorState); 58 var ar1model = new TimeSeriesPrognosisAutoRegressiveModel(ProblemData.TargetVariable, new double[] { beta }, alpha).CreateTimeSeriesPrognosisSolution(ProblemData); 59 ar1model.Name = "AR(1) Model"; 60 AddRegressionSolution(ar1model); 61 } 57 OnlineLinearScalingParameterCalculator.Calculate(ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices.Where(x => x > 0)), trainingStartValues, out alpha, out beta, out errorState); 58 var AR1model = new TimeSeriesPrognosisAutoRegressiveModel(ProblemData.TargetVariable, new double[] { beta }, alpha).CreateTimeSeriesPrognosisSolution(ProblemData); 59 AR1model.Name = "AR(1) Model"; 60 AddRegressionSolution(AR1model); 62 61 } 63 62 }
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