Changeset 11205 for branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis

branches/HiveStatistics/sources

Property svn:ignore

-                      old
+                      new
 FxCopResults.txt
 Google.ProtocolBuffers-0.9.1.dll
+Google.ProtocolBuffers-2.4.1.473.dll
 HeuristicLab 3.3.5.1.ReSharper.user
 HeuristicLab 3.3.6.0.ReSharper.user
 HeuristicLab.4.5.resharper.user
 HeuristicLab.ExtLibs.6.0.ReSharper.user
+HeuristicLab.Scripting.Development
 HeuristicLab.resharper.user
 ProtoGen.exe
 …
 _ReSharper.HeuristicLab
 _ReSharper.HeuristicLab 3.3
+_ReSharper.HeuristicLab 3.3 Tests
 _ReSharper.HeuristicLab.ExtLibs
 bin
 protoc.exe
-_ReSharper.HeuristicLab 3.3 Tests
-Google.ProtocolBuffers-2.4.1.473.dll

Property svn:mergeinfo changed

/branches/1721-RandomForestPersistence (added)	merged: 10321-10322
/branches/DataPreprocessing (added)	merged: 10085,10095,10134,10143-10148,10157-10169,10179-10189,10191-10194,10216-10221,10234-10260,10303-10304,10307-10308,10310-10317,10319-10320,10341-10345,10367,10369-10372,10374,10377,10380-10383,10532-10539,10542,10544,10546-10552,10554-10555,10557-10559,10571-10574,10580-10583,10585-10590,10609-10638,10657-10673,10676,10689-10719,10733-10742,10762-10766,10768-10773,10775-10786,10802-10821,10841-10849,10851-10854,10863,10866-10883,10898-10902,10904-10905,10908-10909,10911,10913-10916,10918,10921-10922,10925,10930-10935,10938-10940,10942-10952,10962,10964-10965,10967,10969-10973,10976-10982,10987,10990-10995,10997-11004,11009,11011,11037-11039,11042-11045,11064,11068,11070,11098
/branches/HLScript (added)	merged: 10331-10332,10358
/branches/HeuristicLab.Problems.DataAnalysis.Trading (added)	merged: 6123-6128,6131,6136,6138,6861,6937,9176,9213,9743-9745,9796-9799
/branches/LogResidualEvaluator (added)	merged: 10202-10203,10305,10482-10483
/branches/SpectralKernelForGaussianProcesses (added)	merged: 10204-10205,10473,10479
/stable (added)	merged: 10032-10033,11170,11173,11175
/trunk/sources	merged: 9445,9447-9459,9462-9466,9471-9472,9474,9476-9479,9493,9496,9498,9504-9506,9515-9517,9520-9521,9523,9530-9531,9534-9537,9540,9542-9544,9552-9555,9568-9569,9587,9590-9592,9600,9607-9608,9610-9611,9613,9618,9623-9624,9626,9647-9649,9652,9657-9660,9664-9666,9675,9692,9695,9699,9702,9710,9714,9718-9720,9740-9741,9751,9755,9762,9764-9775,9777-9778,9782-9786,9792,9794,9801-9807,9809-9812,9816-9817,9819-9822,9824-9825,9828,9830,9833,9837-9841,9845,9848-9851,9855,9859-9860,9863,9865-9868,9871,9893-9897,9900-9902,9905-9907,9910,9915-9916,9919-9921,9928,9930,9934-9935,9938-9941,9944,9946,9949,9955-9956,9958-9959,9964-9965,9973-9975,9978,9980-9982,9988-9989,9991-9992,9994-9995,9997,10000-10004,10009-10010,10015,10037,10130,10149-10150,10154,10170-10171,10173-10176,10195-10196,10212-10213,10231,10261,10273,10291-10292,10295,10298,10323-10324,10346,10348,10355,10359-10360,10362-10363,10365-10366,10368,10375,10378,10391,10401,10406-10407,10414,10417-10418,10428,10432-10433,10435,10440,10448,10453,10460,10465-10466,10469-10470,10472,10474-10477,10480,10484,10486,10488-10500,10503-10504,10506,10510-10512,10520-10523,10526,10531,10540-10541,10543,10545,10561-10566,10575-10578,10596-10597,10599,10601-10607,10639,10642-10643,10646,10651-10653,10727,10731,10745,10747,10761,10767,10774,10787-10791,10793-10794,10796,10799-10800,10826,10857-10862,10865,10885,10889,10894-10896,10924,10926-10927,10937,10941,10953,10955-10956,10958-10961,10963,10975,10983-10986,10988-10989,10996,11007-11008,11012-11014,11019,11024-11027,11031,11034-11035,11048,11050-11052,11056-11058,11060,11065-11067,11071,11074-11082,11086-11088,11091-11093,11095-11097,11099,11102,11108,11111-11117,11123-11128,11131,11135,11153,11156,11161,11163,11171-11172,11174,11176

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis

Property svn:mergeinfo changed

/branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis (added)	merged: 10134,10145-10148,10160,10164,10538,10689-10690,10694-10695,10708,10770,10772,10814,10845,10854,10869,10880,10922,10925,11002,11009,11011,11038,11064,11068,11070
/branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis (added)	merged: 10483
/branches/SpectralKernelForGaussianProcesses/HeuristicLab.Problems.DataAnalysis (added)	merged: 10479
/stable/HeuristicLab.Problems.DataAnalysis (added)	merged: 10032,11170,11173
/trunk/sources/HeuristicLab.Problems.DataAnalysis (added)	merged: 9449,9456,9462,9498,9552,9762,9973,10037,10406,10480,10484,10540,11031,11114,11156,11171,11174

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Dataset.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
         var values = variableValues.ElementAt(i);
         IList clonedValues = null;
         if (values is List<double>)
+        if (values is IList<double>)
           clonedValues = new List<double>(values.Cast<double>());
         else if (values is List<string>)
+        else if (values is IList<string>)
           clonedValues = new List<string>(values.Cast<string>());
         else if (values is List<DateTime>)
+        else if (values is IList<DateTime>)
           clonedValues = new List<DateTime>(values.Cast<DateTime>());
         else {
           this.variableNames = new List<string>();
           this.variableValues = new Dictionary<string, IList>();
           throw new ArgumentException("The variable values must be of type List<double>, List<string> or List<DateTime>");
+          throw new ArgumentException("The variable values must be of type IList<double>, IList<string> or IList<DateTime>");
+        }
         this.variableValues.Add(this.variableNames[i], clonedValues);
 …
         yield return value;
+    }
+    public IEnumerable<string> GetStringValues(string variableName) {
+      IList list;
+      if (!variableValues.TryGetValue(variableName, out list))
+        throw new ArgumentException("The variable " + variableName + " does not exist in the dataset.");
+      List<string> values = list as List<string>;
+      if (values == null) throw new ArgumentException("The variable " + variableName + " is not a string variable.");
+      //mkommend yield return used to enable lazy evaluation
+      foreach (string value in values)
+        yield return value;
+    }
+    public IEnumerable<DateTime> GetDateTimeValues(string variableName) {
+      IList list;
+      if (!variableValues.TryGetValue(variableName, out list))
+        throw new ArgumentException("The variable " + variableName + " does not exist in the dataset.");
+      List<DateTime> values = list as List<DateTime>;
+      if (values == null) throw new ArgumentException("The variable " + variableName + " is not a datetime variable.");
+      //mkommend yield return used to enable lazy evaluation
+      foreach (DateTime value in values)
+        yield return value;
+    }
     public ReadOnlyCollection<double> GetReadOnlyDoubleValues(string variableName) {
       IList list;
 …
       return rows.Select(index => values[index]);
+    }
+    public bool VariableHasType<T>(string variableName) {
+      return variableValues[variableName] is IList<T>;
+    }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/DatasetExtensions.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/DoubleLimit.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj

-                      r11203
+                      r11205
       <Private>False</Private>
     </Reference>
-    <Reference Include="HeuristicLab.ALGLIB-3.6.0, Version=3.6.0.0, Culture=neutral, PublicKeyToken=ba48961d6f65dcec, processorArchitecture=MSIL">
-      <HintPath>..\..\bin\HeuristicLab.ALGLIB-3.6.0.dll</HintPath>
-      <Private>False</Private>
-    </Reference>
     <Reference Include="System" />
     <Reference Include="System.Core">
 …
     <Compile Include="Implementation\TimeSeriesPrognosis\TimeSeriesPrognosisSolution.cs" />
     <Compile Include="Implementation\TimeSeriesPrognosis\TimeSeriesPrognosisSolutionBase.cs" />
+    <Compile Include="Implementation\Transformations\CopyColumnTransformation.cs" />
+    <Compile Include="Implementation\Transformations\ExponentialTransformation.cs" />
+    <Compile Include="Implementation\Transformations\LinearTransformation.cs" />
+    <Compile Include="Implementation\Transformations\LogarithmicTransformation.cs" />
+    <Compile Include="Implementation\Transformations\PowerTransformation.cs" />
+    <Compile Include="Implementation\Transformations\ReciprocalTransformation.cs" />
+    <Compile Include="Implementation\Transformations\ShiftStandardDistributionTransformation.cs" />
+    <Compile Include="Implementation\Transformations\ShiftToRangeTransformation.cs" />
+    <Compile Include="Implementation\Transformations\Transformation.cs" />
     <Compile Include="Interfaces\Classification\IClassificationEnsembleModel.cs">
       <SubType>Code</SubType>
 …
     </Compile>
     <Compile Include="Interfaces\Classification\IDiscriminantFunctionThresholdCalculator.cs" />
+    <Compile Include="Interfaces\IDataAnalysisSolutionExporter.cs" />
     <Compile Include="Interfaces\IDependencyCalculator.cs" />
+    <Compile Include="Interfaces\ITransformation.cs" />
+    <Compile Include="Interfaces\ITransformationMapper.cs" />
     <Compile Include="Interfaces\Regression\IRegressionEnsembleModel.cs">
       <SubType>Code</SubType>
 …
     <Compile Include="OnlineCalculators\DependencyCalculator\SpearmansRankCorrelationCoefficientCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineBoundedMeanSquaredErrorCalculator.cs" />
+    <Compile Include="OnlineCalculators\OnlineCovarianceCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineDirectionalSymmetryCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineMaxAbsoluteErrorCalculator.cs" />
 …
     <Compile Include="Interfaces\Regression\IRegressionProblemData.cs" />
     <Compile Include="Interfaces\Regression\IRegressionSolution.cs" />
-    <Compile Include="OnlineCalculators\OnlineCovarianceCalcualtor.cs" />
     <Compile Include="OnlineCalculators\OnlineMeanAbsolutePercentageErrorCalculator.cs" />
     <Compile Include="OnlineCalculators\OnlineMeanAndVarianceCalculator.cs" />

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleProblemData.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationEnsembleSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
     public string TargetVariable {
       get { return TargetVariableParameter.Value.Value; }
+      set {
+        if (value == null) throw new ArgumentNullException("targetVariable", "The provided value for the targetVariable is null.");
+        if (value == TargetVariable) return;
+        var matchingParameterValue = TargetVariableParameter.ValidValues.FirstOrDefault(v => v.Value == value);
+        if (matchingParameterValue == null) throw new ArgumentException("The provided value is not valid as the targetVariable.", "targetVariable");
+        TargetVariableParameter.Value = matchingParameterValue;
+      }
+    }
 …
+    }
     public ClassificationProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable)
       : base(dataset, allowedInputVariables) {
+    public ClassificationProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable, IEnumerable<ITransformation> transformations = null)
+      : base(dataset, allowedInputVariables, transformations ?? Enumerable.Empty<ITransformation>()) {
       var validTargetVariableValues = CheckVariablesForPossibleTargetVariables(dataset).Select(x => new StringValue(x).AsReadOnly()).ToList();
       var target = validTargetVariableValues.Where(x => x.Value == targetVariable).DefaultIfEmpty(validTargetVariableValues.First()).First();
 …
                                     .Distinct()
                                     .Count()
                                   where distinctValues < MaximumNumberOfClasses
+                                  where distinctValues <= MaximumNumberOfClasses
                                   select v).ToArray();
 …
+    }
     #endregion
+    protected override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      IClassificationProblemData classificationProblemData = problemData as IClassificationProblemData;
+      if (classificationProblemData == null)
+        throw new ArgumentException("The problem data is no classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      var returnValue = base.IsProblemDataCompatible(classificationProblemData, out errorMessage);
+      //check targetVariable
+      if (classificationProblemData.InputVariables.All(var => var.Value != TargetVariable)) {
+        errorMessage = string.Format("The target variable {0} is not present in the new problem data.", TargetVariable)
+                       + Environment.NewLine + errorMessage;
+        return false;
+      }
+      var newClassValues = classificationProblemData.Dataset.GetDoubleValues(TargetVariable).Distinct().OrderBy(x => x);
+      if (!newClassValues.SequenceEqual(ClassValues)) {
+        errorMessage = errorMessage + string.Format("The class values differ in the provided classification problem data.");
+        return false;
+      }
+      return returnValue;
+    }
+    public override void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      ClassificationProblemData classificationProblemData = problemData as ClassificationProblemData;
+      if (classificationProblemData == null)
+        throw new ArgumentException("The problem data is not a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      base.AdjustProblemDataProperties(problemData);
+      TargetVariable = classificationProblemData.TargetVariable;
+      for (int i = 0; i < classificationProblemData.ClassNames.Count(); i++)
+        ClassNamesParameter.Value[i, 0] = classificationProblemData.ClassNames.ElementAt(i);
+      for (int i = 0; i < Classes; i++) {
+        for (int j = 0; j < Classes; j++) {
+          ClassificationPenaltiesParameter.Value[i, j] = classificationProblemData.GetClassificationPenalty(ClassValuesCache[i], ClassValuesCache[j]);
+        }
+      }
+    }
+  }
+}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationSolutionBase.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolutionBase.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ThresholdCalculators/AccuracyMaximizationThresholdCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ThresholdCalculators/NormalDistributionCutPointsThresholdCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ThresholdCalculators/ThresholdCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Clustering/ClusteringProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Clustering/ClusteringProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
 using System.Collections.Generic;
+using System.Linq;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
 …
+    }
     public ClusteringProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables)
       : base(dataset, allowedInputVariables) {
+    public ClusteringProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, IEnumerable<ITransformation> transformations = null)
+      : base(dataset, allowedInputVariables, transformations ?? Enumerable.Empty<ITransformation>()) {
+    }
+  }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Clustering/ClusteringSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/DataAnalysisProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/DataAnalysisProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
 using System.Collections.Generic;
 using System.Linq;
+using System.Text;
 using HeuristicLab.Collections;
 using HeuristicLab.Common;
 …
     protected const string TrainingPartitionParameterName = "TrainingPartition";
     protected const string TestPartitionParameterName = "TestPartition";
+    protected const string TransformationsParameterName = "Transformations";
     #region parameter properites
 …
     public IFixedValueParameter<IntRange> TestPartitionParameter {
       get { return (IFixedValueParameter<IntRange>)Parameters[TestPartitionParameterName]; }
+    }
+    public IFixedValueParameter<ReadOnlyItemList<ITransformation>> TransformationsParameter {
+      get { return (IFixedValueParameter<ReadOnlyItemList<ITransformation>>)Parameters[TransformationsParameterName]; }
+    }
     #endregion
 …
+    }
+    public IEnumerable<ITransformation> Transformations {
+      get { return TransformationsParameter.Value; }
+    }
     public virtual bool IsTrainingSample(int index) {
       return index >= 0 && index < Dataset.Rows &&
 …
     [StorableHook(HookType.AfterDeserialization)]
     private void AfterDeserialization() {
+      if (!Parameters.ContainsKey(TransformationsParameterName)) {
+        Parameters.Add(new FixedValueParameter<ReadOnlyItemList<ITransformation>>(TransformationsParameterName, "", new ItemList<ITransformation>().AsReadOnly()));
+        TransformationsParameter.Hidden = true;
+      }
       RegisterEventHandlers();
+    }
     protected DataAnalysisProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables) {
+    protected DataAnalysisProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, IEnumerable<ITransformation> transformations = null) {
       if (dataset == null) throw new ArgumentNullException("The dataset must not be null.");
       if (allowedInputVariables == null) throw new ArgumentNullException("The allowedInputVariables must not be null.");
 …
       int testPartitionEnd = dataset.Rows;
+      var transformationsList = new ItemList<ITransformation>(transformations ?? Enumerable.Empty<ITransformation>());
       Parameters.Add(new FixedValueParameter<Dataset>(DatasetParameterName, "", dataset));
       Parameters.Add(new FixedValueParameter<ReadOnlyCheckedItemList<StringValue>>(InputVariablesParameterName, "", inputVariables.AsReadOnly()));
       Parameters.Add(new FixedValueParameter<IntRange>(TrainingPartitionParameterName, "", new IntRange(trainingPartitionStart, trainingPartitionEnd)));
       Parameters.Add(new FixedValueParameter<IntRange>(TestPartitionParameterName, "", new IntRange(testPartitionStart, testPartitionEnd)));
+      Parameters.Add(new FixedValueParameter<ReadOnlyItemList<ITransformation>>(TransformationsParameterName, "", transformationsList.AsReadOnly()));
+      TransformationsParameter.Hidden = true;
       ((ValueParameter<Dataset>)DatasetParameter).ReactOnValueToStringChangedAndValueItemImageChanged = false;
 …
       TrainingPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
       TestPartition.ValueChanged += new EventHandler(Parameter_ValueChanged);
+      TransformationsParameter.ValueChanged += new EventHandler(Parameter_ValueChanged);
+    }
 …
       if (listeners != null) listeners(this, EventArgs.Empty);
+    }
+    protected virtual bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
+      errorMessage = string.Empty;
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      //check allowed input variables
+      StringBuilder message = new StringBuilder();
+      var variables = new HashSet<string>(problemData.InputVariables.Select(x => x.Value));
+      foreach (var item in AllowedInputVariables) {
+        if (!variables.Contains(item))
+          message.AppendLine("Input variable '" + item + "' is not present in the new problem data.");
+      }
+      if (message.Length != 0) {
+        errorMessage = message.ToString();
+        return false;
+      }
+      return true;
+    }
+    public virtual void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {
+      DataAnalysisProblemData data = problemData as DataAnalysisProblemData;
+      if (data == null) throw new ArgumentException("The problem data is not a data analysis problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      string errorMessage;
+      if (!data.IsProblemDataCompatible(this, out errorMessage)) {
+        throw new InvalidOperationException(errorMessage);
+      }
+      foreach (var inputVariable in InputVariables) {
+        var variable = data.InputVariables.FirstOrDefault(i => i.Value == inputVariable.Value);
+        InputVariables.SetItemCheckedState(inputVariable, variable != null && data.InputVariables.ItemChecked(variable));
+      }
+      TrainingPartition.Start = TrainingPartition.End = 0;
+      TestPartition.Start = 0;
+      TestPartition.End = Dataset.Rows;
+    }
+  }
+}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/DataAnalysisSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleProblemData.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
     public string TargetVariable {
       get { return TargetVariableParameter.Value.Value; }
+      set {
+        if (value == null) throw new ArgumentNullException("targetVariable", "The provided value for the targetVariable is null.");
+        if (value == TargetVariable) return;
+        var matchingParameterValue = TargetVariableParameter.ValidValues.FirstOrDefault(v => v.Value == value);
+        if (matchingParameterValue == null) throw new ArgumentException("The provided value is not valid as the targetVariable.", "targetVariable");
+        TargetVariableParameter.Value = matchingParameterValue;
+      }
+    }
 …
+    }
     public RegressionProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable)
       : base(dataset, allowedInputVariables) {
+    public RegressionProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable, IEnumerable<ITransformation> transformations = null)
+      : base(dataset, allowedInputVariables, transformations ?? Enumerable.Empty<ITransformation>()) {
       var variables = InputVariables.Select(x => x.AsReadOnly()).ToList();
       Parameters.Add(new ConstrainedValueParameter<StringValue>(TargetVariableParameterName, new ItemSet<StringValue>(variables), variables.Where(x => x.Value == targetVariable).First()));
 …
       OnChanged();
+    }
+    protected override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      IRegressionProblemData regressionProblemData = problemData as IRegressionProblemData;
+      if (regressionProblemData == null)
+        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      var returnValue = base.IsProblemDataCompatible(problemData, out errorMessage);
+      //check targetVariable
+      if (problemData.InputVariables.All(var => var.Value != TargetVariable)) {
+        errorMessage = string.Format("The target variable {0} is not present in the new problem data.", TargetVariable)
+                       + Environment.NewLine + errorMessage;
+        return false;
+      }
+      return returnValue;
+    }
+    public override void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      RegressionProblemData regressionProblemData = problemData as RegressionProblemData;
+      if (regressionProblemData == null)
+        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      base.AdjustProblemDataProperties(problemData);
+      TargetVariable = regressionProblemData.TargetVariable;
+    }
+  }
+}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolutionBase.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/ConstantTimeSeriesPrognosisModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/Models/TimeSeriesPrognosisAutoRegressiveModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
       TrainingPartition.Start = 50;
+    }
     public TimeSeriesPrognosisProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable)
       : base(dataset, allowedInputVariables, targetVariable) {
+    public TimeSeriesPrognosisProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable, IEnumerable<ITransformation> transformations = null)
+      : base(dataset, allowedInputVariables, targetVariable, transformations ?? Enumerable.Empty<ITransformation>()) {
       Parameters.Add(new FixedValueParameter<IntValue>(TrainingHorizonParameterName, "Specifies the horizon (how far the prognosis reaches in the future) for each training sample.", new IntValue(1)));
       Parameters.Add(new FixedValueParameter<IntValue>(TestHorizonParameterName, "Specifies the horizon (how far the prognosis reaches in the future) for each test sample.", new IntValue(1)));
 …
       : this(timeseriesProblemData.Dataset, timeseriesProblemData.AllowedInputVariables, timeseriesProblemData.TargetVariable) {
+      TrainingPartition.Start = timeseriesProblemData.TrainingPartition.Start;
+      TrainingPartition.End = timeseriesProblemData.TrainingPartition.End;
+      TestPartition.Start = timeseriesProblemData.TestPartition.Start;
+      TestPartition.End = timeseriesProblemData.TestPartition.End;
+      TrainingHorizon = timeseriesProblemData.TrainingHorizon;
       TestHorizon = timeseriesProblemData.TestHorizon;
-      TrainingHorizon = timeseriesProblemData.TestHorizon;
+    }
 …
+    }
+    protected override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) {
+      if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null.");
+      ITimeSeriesPrognosisProblemData timeseriesProblemData = problemData as ITimeSeriesPrognosisProblemData;
+      if (timeseriesProblemData == null)
+        throw new ArgumentException("The problem data is not a time-series problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      var returnValue = base.IsProblemDataCompatible(problemData, out errorMessage);
+      //check targetVariable
+      if (problemData.InputVariables.All(var => var.Value != TargetVariable)) {
+        errorMessage = string.Format("The target variable {0} is not present in the new problem data.", TargetVariable)
+                       + Environment.NewLine + errorMessage;
+        return false;
+      }
+      return returnValue;
+    }
+    public override void AdjustProblemDataProperties(IDataAnalysisProblemData problemData) {
+      TimeSeriesPrognosisProblemData timeSeriesProblemData = problemData as TimeSeriesPrognosisProblemData;
+      if (timeSeriesProblemData == null)
+        throw new ArgumentException("The problem data is not a timeseries problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      var trainingDataStart = TrainingIndices.First();
+      base.AdjustProblemDataProperties(problemData);
+      TestPartition.Start = trainingDataStart;
+      TrainingHorizon = timeSeriesProblemData.TrainingHorizon;
+      TestHorizon = timeSeriesProblemData.TestHorizon;
+    }
+  }
+}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisResults.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
       OnlineCalculatorError errorState;
       var problemData = Solution.ProblemData;
+      if (!problemData.TrainingIndices.Any()) return;
       var model = Solution.Model;
       //mean model
 …
       OnlineCalculatorError errorState;
       var problemData = Solution.ProblemData;
+      if (!problemData.TestIndices.Any()) return;
       var model = Solution.Model;
-      //mean model
-      double trainingMean = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices).Average();
-      var meanModel = new ConstantTimeSeriesPrognosisModel(trainingMean);
-      //AR1 model
-      double alpha, beta;
-      IEnumerable<double> trainingStartValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices.Select(r => r - 1).Where(r => r > 0)).ToList();
-      OnlineLinearScalingParameterCalculator.Calculate(problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices.Where(x => x > 0)), trainingStartValues, out alpha, out beta, out errorState);
-      var AR1model = new TimeSeriesPrognosisAutoRegressiveModel(problemData.TargetVariable, new double[] { beta }, alpha);
       var testHorizions = problemData.TestIndices.Select(r => Math.Min(testHorizon, problemData.TestPartition.End - r)).ToList();
       IEnumerable<IEnumerable<double>> testTargetValues = problemData.TestIndices.Zip(testHorizions, Enumerable.Range).Select(r => problemData.Dataset.GetDoubleValues(problemData.TargetVariable, r)).ToList();
       IEnumerable<IEnumerable<double>> testEstimatedValues = model.GetPrognosedValues(problemData.Dataset, problemData.TestIndices, testHorizions).ToList();
       IEnumerable<double> testStartValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TestIndices.Select(r => r - 1).Where(r => r > 0)).ToList();
-      IEnumerable<IEnumerable<double>> testMeanModelPredictions = meanModel.GetPrognosedValues(problemData.Dataset, problemData.TestIndices, testHorizions).ToList();
-      IEnumerable<IEnumerable<double>> testAR1ModelPredictions = AR1model.GetPrognosedValues(problemData.Dataset, problemData.TestIndices, testHorizions).ToList();
       IEnumerable<double> originalTestValues = testTargetValues.SelectMany(x => x).ToList();
 …
       PrognosisTestWeightedDirectionalSymmetry = OnlineWeightedDirectionalSymmetryCalculator.Calculate(testStartValues, testTargetValues, testEstimatedValues, out errorState);
       PrognosisTestWeightedDirectionalSymmetry = errorState == OnlineCalculatorError.None ? PrognosisTestWeightedDirectionalSymmetry : 0.0;
+      PrognosisTestTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(testStartValues, testTargetValues, testAR1ModelPredictions, testEstimatedValues, out errorState);
+      PrognosisTestTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? PrognosisTestTheilsUStatisticAR1 : double.PositiveInfinity;
+      PrognosisTestTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(testStartValues, testTargetValues, testMeanModelPredictions, testEstimatedValues, out errorState);
+      PrognosisTestTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? PrognosisTestTheilsUStatisticMean : double.PositiveInfinity;
+      if (problemData.TrainingIndices.Any()) {
+        //mean model
+        double trainingMean = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices).Average();
+        var meanModel = new ConstantTimeSeriesPrognosisModel(trainingMean);
+        //AR1 model
+        double alpha, beta;
+        IEnumerable<double> trainingStartValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices.Select(r => r - 1).Where(r => r > 0)).ToList();
+        OnlineLinearScalingParameterCalculator.Calculate(problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices.Where(x => x > 0)), trainingStartValues, out alpha, out beta, out errorState);
+        var AR1model = new TimeSeriesPrognosisAutoRegressiveModel(problemData.TargetVariable, new double[] { beta }, alpha);
+        IEnumerable<IEnumerable<double>> testMeanModelPredictions = meanModel.GetPrognosedValues(problemData.Dataset, problemData.TestIndices, testHorizions).ToList();
+        IEnumerable<IEnumerable<double>> testAR1ModelPredictions = AR1model.GetPrognosedValues(problemData.Dataset, problemData.TestIndices, testHorizions).ToList();
+        PrognosisTestTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(testStartValues, testTargetValues, testAR1ModelPredictions, testEstimatedValues, out errorState);
+        PrognosisTestTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? PrognosisTestTheilsUStatisticAR1 : double.PositiveInfinity;
+        PrognosisTestTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(testStartValues, testTargetValues, testMeanModelPredictions, testEstimatedValues, out errorState);
+        PrognosisTestTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? PrognosisTestTheilsUStatisticMean : double.PositiveInfinity;
+      }
+    }
+  }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/TimeSeriesPrognosis/TimeSeriesPrognosisSolutionBase.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
     protected void CalculateTimeSeriesResults() {
       OnlineCalculatorError errorState;
       double trainingMean = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).Average();
+      double trainingMean = ProblemData.TrainingIndices.Any() ? ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).Average() : double.NaN;
       var meanModel = new ConstantTimeSeriesPrognosisModel(trainingMean);
 …
       #region Calculate training quality measures
+      IEnumerable<double> trainingTargetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).ToList();
+      IEnumerable<double> trainingEstimatedValues = EstimatedTrainingValues.ToList();
+      IEnumerable<double> trainingMeanModelPredictions = meanModel.GetEstimatedValues(ProblemData.Dataset, ProblemData.TrainingIndices).ToList();
+      IEnumerable<double> trainingAR1ModelPredictions = AR1model.GetEstimatedValues(ProblemData.Dataset, ProblemData.TrainingIndices).ToList();
+      TrainingDirectionalSymmetry = OnlineDirectionalSymmetryCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingEstimatedValues, out errorState);
+      TrainingDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TrainingDirectionalSymmetry : 0.0;
+      TrainingWeightedDirectionalSymmetry = OnlineWeightedDirectionalSymmetryCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingEstimatedValues, out errorState);
+      TrainingWeightedDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TrainingWeightedDirectionalSymmetry : 0.0;
+      TrainingTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingAR1ModelPredictions, trainingEstimatedValues, out errorState);
+      TrainingTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? TrainingTheilsUStatisticAR1 : double.PositiveInfinity;
+      TrainingTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingMeanModelPredictions, trainingEstimatedValues, out errorState);
+      TrainingTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? TrainingTheilsUStatisticMean : double.PositiveInfinity;
+      if (ProblemData.TrainingIndices.Any()) {
+        IEnumerable<double> trainingTargetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndices).ToList();
+        IEnumerable<double> trainingEstimatedValues = EstimatedTrainingValues.ToList();
+        IEnumerable<double> trainingMeanModelPredictions = meanModel.GetEstimatedValues(ProblemData.Dataset, ProblemData.TrainingIndices).ToList();
+        IEnumerable<double> trainingAR1ModelPredictions = AR1model.GetEstimatedValues(ProblemData.Dataset, ProblemData.TrainingIndices).ToList();
+        TrainingDirectionalSymmetry = OnlineDirectionalSymmetryCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingEstimatedValues, out errorState);
+        TrainingDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TrainingDirectionalSymmetry : 0.0;
+        TrainingWeightedDirectionalSymmetry = OnlineWeightedDirectionalSymmetryCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingEstimatedValues, out errorState);
+        TrainingWeightedDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TrainingWeightedDirectionalSymmetry : 0.0;
+        TrainingTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingAR1ModelPredictions, trainingEstimatedValues, out errorState);
+        TrainingTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? TrainingTheilsUStatisticAR1 : double.PositiveInfinity;
+        TrainingTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(trainingTargetValues.First(), trainingTargetValues, trainingMeanModelPredictions, trainingEstimatedValues, out errorState);
+        TrainingTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? TrainingTheilsUStatisticMean : double.PositiveInfinity;
+      }
       #endregion
       #region Calculate test quality measures
+      IEnumerable<double> testTargetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TestIndices).ToList();
+      IEnumerable<double> testEstimatedValues = EstimatedTestValues.ToList();
+      IEnumerable<double> testMeanModelPredictions = meanModel.GetEstimatedValues(ProblemData.Dataset, ProblemData.TestIndices).ToList();
+      IEnumerable<double> testAR1ModelPredictions = AR1model.GetEstimatedValues(ProblemData.Dataset, ProblemData.TestIndices).ToList();
+      TestDirectionalSymmetry = OnlineDirectionalSymmetryCalculator.Calculate(testTargetValues.First(), testTargetValues, testEstimatedValues, out errorState);
+      TestDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TestDirectionalSymmetry : 0.0;
+      TestWeightedDirectionalSymmetry = OnlineWeightedDirectionalSymmetryCalculator.Calculate(testTargetValues.First(), testTargetValues, testEstimatedValues, out errorState);
+      TestWeightedDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TestWeightedDirectionalSymmetry : 0.0;
+      TestTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(testTargetValues.First(), testTargetValues, testAR1ModelPredictions, testEstimatedValues, out errorState);
+      TestTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? TestTheilsUStatisticAR1 : double.PositiveInfinity;
+      TestTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(testTargetValues.First(), testTargetValues, testMeanModelPredictions, testEstimatedValues, out errorState);
+      TestTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? TestTheilsUStatisticMean : double.PositiveInfinity;
+      if (ProblemData.TestIndices.Any()) {
+        IEnumerable<double> testTargetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TestIndices).ToList();
+        IEnumerable<double> testEstimatedValues = EstimatedTestValues.ToList();
+        IEnumerable<double> testMeanModelPredictions = meanModel.GetEstimatedValues(ProblemData.Dataset, ProblemData.TestIndices).ToList();
+        IEnumerable<double> testAR1ModelPredictions = AR1model.GetEstimatedValues(ProblemData.Dataset, ProblemData.TestIndices).ToList();
+        TestDirectionalSymmetry = OnlineDirectionalSymmetryCalculator.Calculate(testTargetValues.First(), testTargetValues, testEstimatedValues, out errorState);
+        TestDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TestDirectionalSymmetry : 0.0;
+        TestWeightedDirectionalSymmetry = OnlineWeightedDirectionalSymmetryCalculator.Calculate(testTargetValues.First(), testTargetValues, testEstimatedValues, out errorState);
+        TestWeightedDirectionalSymmetry = errorState == OnlineCalculatorError.None ? TestWeightedDirectionalSymmetry : 0.0;
+        TestTheilsUStatisticAR1 = OnlineTheilsUStatisticCalculator.Calculate(testTargetValues.First(), testTargetValues, testAR1ModelPredictions, testEstimatedValues, out errorState);
+        TestTheilsUStatisticAR1 = errorState == OnlineCalculatorError.None ? TestTheilsUStatisticAR1 : double.PositiveInfinity;
+        TestTheilsUStatisticMean = OnlineTheilsUStatisticCalculator.Calculate(testTargetValues.First(), testTargetValues, testMeanModelPredictions, testEstimatedValues, out errorState);
+        TestTheilsUStatisticMean = errorState == OnlineCalculatorError.None ? TestTheilsUStatisticMean : double.PositiveInfinity;
+      }
       #endregion
+    }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEnsembleModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEnsembleSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
 namespace HeuristicLab.Problems.DataAnalysis {
   public interface IClassificationProblemData : IDataAnalysisProblemData {
     string TargetVariable { get; }
+    string TargetVariable { get; set; }
     IEnumerable<string> ClassNames { get; }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IDiscriminantFunctionClassificationModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IDiscriminantFunctionClassificationSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IDiscriminantFunctionThresholdCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Clustering/IClusteringModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Clustering/IClusteringProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Clustering/IClusteringProblemData.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Clustering/IClusteringSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisProblemData.cs

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
     IEnumerable<int> TestIndices { get; }
+    IEnumerable<ITransformation> Transformations { get; }
     bool IsTrainingSample(int index);
     bool IsTestSample(int index);
     event EventHandler Changed;
+    void AdjustProblemDataProperties(IDataAnalysisProblemData problemData);
+  }
+}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDependencyCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IOnlineCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionEnsembleModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionEnsembleSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionProblemData.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.
…	…
22	22	namespace HeuristicLab.Problems.DataAnalysis {
23	23	public interface IRegressionProblemData : IDataAnalysisProblemData {
24		string TargetVariable { get; }
	24	string TargetVariable { get; set; }
25	25	}
26	26	}

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/IOnlineTimeSeriesCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisModel.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisProblem.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisProblemData.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/TimeSeriesPrognosis/ITimeSeriesPrognosisSolution.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/AutoCorrelationCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/DependencyCalculator/HoeffdingsDependenceCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/DependencyCalculator/PearsonsRDependenceCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/DependencyCalculator/PearsonsRSquaredDependenceCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/DependencyCalculator/SpearmansRankCorrelationCoefficientCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/NormalizedGiniCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineAccuracyCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineBoundedMeanSquaredErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineDirectionalSymmetryCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineLinearScalingParameterCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMaxAbsoluteErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMeanAbsoluteErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMeanAbsolutePercentageErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMeanAndVarianceCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMeanErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineMeanSquaredErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineNormalizedMeanSquaredErrorCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlinePearsonsRSquaredCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineTheilsUStatisticCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/OnlineWeightedDirectionalSymmetryCalculator.cs

r11203	r11205
1	1	#region License Information
2	2	/* HeuristicLab
3		* Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
	3	* Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4	4	*
5	5	* This file is part of HeuristicLab.

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Plugin.cs.frame

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
 namespace HeuristicLab.Problems.DataAnalysis {
   [Plugin("HeuristicLab.Problems.DataAnalysis","Provides base classes for data analysis tasks.", "3.4.3.$WCREV$")]
+  [Plugin("HeuristicLab.Problems.DataAnalysis","Provides base classes for data analysis tasks.", "3.4.6.$WCREV$")]
   [PluginFile("HeuristicLab.Problems.DataAnalysis-3.4.dll", PluginFileType.Assembly)]
   [PluginDependency("HeuristicLab.ALGLIB","3.7.0")]
 …
   [PluginDependency("HeuristicLab.Parameters", "3.3")]
   [PluginDependency("HeuristicLab.Persistence", "3.3")]
   [PluginDependency("HeuristicLab.Problems.Instances", "3.3")]
+  [PluginDependency("HeuristicLab.Problems.Instances", "3.3")]
   public class HeuristicLabProblemsDataAnalysisPlugin : PluginBase {
+  }

branches/HiveStatistics/sources/HeuristicLab.Problems.DataAnalysis/3.4/Properties/AssemblyInfo.cs.frame

-                      r11203
+                      r11205
 #region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ *
  * This file is part of HeuristicLab.
 …
 [assembly: AssemblyCompany("")]
 [assembly: AssemblyProduct("HeuristicLab")]
 [assembly: AssemblyCopyright("(c) 2002-2012 HEAL")]
+[assembly: AssemblyCopyright("(c) 2002-2014 HEAL")]
 [assembly: AssemblyTrademark("")]
 [assembly: AssemblyCulture("")]
 …
 // by using the '*' as shown below:
 [assembly: AssemblyVersion("3.4.0.0")]
 [assembly: AssemblyFileVersion("3.4.3.$WCREV$")]
+[assembly: AssemblyFileVersion("3.4.6.$WCREV$")]

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