Changeset 16892 for branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation

Timestamp:

05/04/19 08:22:42 (6 years ago)

Author:

gkronber

Message:

#2925 merged r16661:16890 from trunk to branch

Location:

branches/2925_AutoDiffForDynamicalModels

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis/3.4 (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs (modified) (3 diffs)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/ConstantModel.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Interval.cs (modified) (3 diffs)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleModel.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionModel.cs (modified) (1 diff)

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationModel.cs

@@ -75 +75 @@
       var classificationProblemData = problemData as IClassificationProblemData;
       if (classificationProblemData == null)
-        throw new ArgumentException("The problem data is not a regression problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+        throw new ArgumentException("The problem data is not compatible with this classification model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(classificationProblemData, out errorMessage);
     }

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs

@@ -23 +23 @@
 using System.Collections.Generic;
 using System.Linq;
+using HEAL.Attic;
 using HeuristicLab.Common;
 using HeuristicLab.Core;
-using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis {
@@ -121 +121 @@
 
     public override IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
+      var estimatedValues = GetEstimatedValues(dataset, rows);
+      return GetEstimatedClassValues(estimatedValues);
+    }
+
+    public virtual IEnumerable<double> GetEstimatedClassValues(IEnumerable<double> estimatedValues) {
       if (!Thresholds.Any() && !ClassValues.Any()) throw new ArgumentException("No thresholds and class values were set for the current classification model.");
-      foreach (var x in GetEstimatedValues(dataset, rows)) {
+      foreach (var x in estimatedValues) {
         int classIndex = 0;
         // find first threshold value which is larger than x => class index = threshold index + 1
@@ -132 +137 @@
       }
     }
+
     #region events
     public event EventHandler ThresholdsChanged;

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/ConstantModel.cs

@@ -98 +98 @@
         return IsProblemDataCompatible(classificationProblemData, out errorMessage);
 
-      throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
+      throw new ArgumentException("The problem data is compatible with this model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
     }
 

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Interval.cs

@@ -167 +167 @@
     }
     public static Interval Cosine(Interval a) {
-      return Interval.Sine(Interval.Subtract(a, new Interval(Math.PI / 2, Math.PI / 2)));
+      return Interval.Sine(Interval.Add(a, new Interval(Math.PI / 2, Math.PI / 2)));
     }
     public static Interval Tangens(Interval a) {
       return Interval.Divide(Interval.Sine(a), Interval.Cosine(a));
+    }  
+    public static Interval HyperbolicTangent(Interval a) {
+      return new Interval(Math.Tanh(a.LowerBound), Math.Tanh(a.UpperBound));
     }
 
@@ -203 +206 @@
       if (a.UpperBound <= 0) return new Interval(a.UpperBound * a.UpperBound, a.LowerBound * a.LowerBound);     // interval is negative
       else if (a.LowerBound >= 0) return new Interval(a.LowerBound * a.LowerBound, a.UpperBound * a.UpperBound); // interval is positive
-      else return new Interval(0, Math.Max(a.LowerBound*a.LowerBound, a.UpperBound*a.UpperBound)); // interval goes over zero
+      else return new Interval(0, Math.Max(a.LowerBound * a.LowerBound, a.UpperBound * a.UpperBound)); // interval goes over zero
     }
 
@@ -224 +227 @@
     public static Interval CubicRoot(Interval a) {
       if (a.LowerBound < 0) return new Interval(double.NaN, double.NaN);
-      return new Interval(Math.Pow(a.LowerBound, 1.0/3), Math.Pow(a.UpperBound, 1.0/3));
+      return new Interval(Math.Pow(a.LowerBound, 1.0 / 3), Math.Pow(a.UpperBound, 1.0 / 3));
     }
     #endregion

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleModel.cs

@@ -73 +73 @@
 
     #region backwards compatiblity 3.3.5
-    [Storable(Name = "models", AllowOneWay = true)]
+    [Storable(OldName = "models")]
     private List<IRegressionModel> OldStorableModels {
       set { models = value; }

branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionModel.cs

@@ -76 +76 @@
       var 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");
+        throw new ArgumentException("The problem data is not compatible with this regression model. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData");
       return IsProblemDataCompatible(regressionProblemData, out errorMessage);
     }