Changeset 13098 for branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantModel.cs

Timestamp:

11/02/15 21:54:58 (8 years ago)

Author:

gkronber

Message:

#1998:

• introduced new class ConstantModel (to merge ConstantRegressionModel, ConstantClassificationModel and ConstantTimeSeriesModel)
• fixed copyright statements
• tried to unify naming
• added F1 score and Matthew's correlation to classification results collection

File:

• branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantModel.cs (copied) (copied from branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantRegressionModel.cs) (4 diffs)

branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/ConstantModel.cs

@@ -30 +30 @@
 namespace HeuristicLab.Problems.DataAnalysis {
   [StorableClass]
-  [Item("Constant Regression Model", "A model that always returns the same constant value regardless of the presented input data.")]
-  public class ConstantRegressionModel : NamedItem, IRegressionModel, IStringConvertibleValue {
+  [Item("Constant Model", "A model that always returns the same constant value regardless of the presented input data.")]
+  public class ConstantModel : NamedItem, IRegressionModel, IClassificationModel, ITimeSeriesPrognosisModel, IStringConvertibleValue {
     [Storable]
     private double constant;
@@ -40 +40 @@
 
     [StorableConstructor]
-    protected ConstantRegressionModel(bool deserializing) : base(deserializing) { }
-    protected ConstantRegressionModel(ConstantRegressionModel original, Cloner cloner)
+    protected ConstantModel(bool deserializing) : base(deserializing) { }
+    protected ConstantModel(ConstantModel original, Cloner cloner)
       : base(original, cloner) {
       this.constant = original.constant;
     }
-    public override IDeepCloneable Clone(Cloner cloner) { return new ConstantRegressionModel(this, cloner); }
+    public override IDeepCloneable Clone(Cloner cloner) { return new ConstantModel(this, cloner); }
 
-    public ConstantRegressionModel(double constant)
+    public ConstantModel(double constant)
       : base() {
       this.name = ItemName;
@@ -58 +58 @@
       return rows.Select(row => Constant);
     }
+    public IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
+      return GetEstimatedValues(dataset, rows);
+    }
+    public IEnumerable<IEnumerable<double>> GetPrognosedValues(IDataset dataset, IEnumerable<int> rows, IEnumerable<int> horizons) {
+      return rows.Select(_ => horizons.Select(__ => Constant));
+    }
 
     public IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
       return new ConstantRegressionSolution(this, new RegressionProblemData(problemData));
+    }
+    public IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return new ConstantClassificationSolution(this, new ClassificationProblemData(problemData));
+    }
+    public ITimeSeriesPrognosisSolution CreateTimeSeriesPrognosisSolution(ITimeSeriesPrognosisProblemData problemData) {
+      return new TimeSeriesPrognosisSolution(this, new TimeSeriesPrognosisProblemData(problemData));
     }
 
@@ -83 +95 @@
     public event EventHandler ValueChanged;
     #endregion
+
   }
 }